docs/faq.md,sha256=suWoxrv8vLK0--7jk83Qqli5zmaazBg57KVvRAQIwdY,5382
docs/index.md,sha256=PCNERwxQNWRxbMYaM6rXhoRoTkMv6J5H6bs9ztNp1nE,27965
docs/tags.md,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
docs/api/index.md,sha256=7C6dMYYyfFpwpczAIacw886kKneIbQS4NR0fhPBEFm4,3991
docs/api/torchebm/index.md,sha256=PX3d_7VB5ze1ntKUpEm-sKXLInnw7rBZUHc45qLcLFE,853
docs/api/torchebm/core/index.md,sha256=8FlrwV6OJPXIxOpdNE3ySE3OwoZDlBVkhMZZ_bD7u3k,937
docs/api/torchebm/core/base_energy_function/index.md,sha256=9y_pwrzpmMWIDn5bNj0LNrD0w1PyZNRt48xjaFM6yOo,1596
docs/api/torchebm/core/base_energy_function/classes/AckleyEnergy.md,sha256=OxSxrZRpEXr74QvzeoIDfZT1RdE7TxJ-z6343Zu7SaA,654
docs/api/torchebm/core/base_energy_function/classes/BaseEnergyFunction.md,sha256=MI55qVgMcvVMIKyA0ZsmJ2c18GfzRz52uqkPWd0Vy-8,660
docs/api/torchebm/core/base_energy_function/classes/DoubleWellEnergy.md,sha256=Pn5hME10rBpRIrpG1aUHuzgFiNKGrJLGiN-p2JQPpOg,658
docs/api/torchebm/core/base_energy_function/classes/GaussianEnergy.md,sha256=q0QS8DN91IyRzNpR5niRiXO0XRoKsfG6q-vffTc58cQ,656
docs/api/torchebm/core/base_energy_function/classes/HarmonicEnergy.md,sha256=OxnH5-wMMlmoR0oj6Uv6Xmqkc_BPYkyOYdQQAicveYM,656
docs/api/torchebm/core/base_energy_function/classes/RastriginEnergy.md,sha256=BjFHtUGb6Rh35UHsShBbeoh1e0k64iWI3wVAUszXtEw,657
docs/api/torchebm/core/base_energy_function/classes/RosenbrockEnergy.md,sha256=6DnHOh3vhH15jwcD9JoiZXt2ZihKnGfXIl_8jeBYdX8,658
docs/api/torchebm/core/base_loss/index.md,sha256=tkxHpzOlttLOGoyGoXWnyKuRZ-r4CRkWAlIAw0iP5eg,956
docs/api/torchebm/core/base_loss/classes/BaseContrastiveDivergence.md,sha256=lUA4jrlN1v9WrOhaVxihnWcdARZFTqMDwqYb2ray5Iw,656
docs/api/torchebm/core/base_loss/classes/BaseLoss.md,sha256=7Wg65V_ACOyboIH6wfqueFPfHLeKJ8iTv4qpeuM6gPM,639
docs/api/torchebm/core/base_optimizer/index.md,sha256=4F0sbcZHubm5KXWGO3fD4tT5rJGw59CqsEkLlcHPjDY,783
docs/api/torchebm/core/base_optimizer/classes/Optimizer.md,sha256=FubH8HwN4X4sJoqLR2w9y82NDXWV01K7mFQvgKPAr-c,645
docs/api/torchebm/core/base_sampler/index.md,sha256=PC0g2Bcux08PngLdYawk5omo5Jicf3V2MjF7OputmPo,782
docs/api/torchebm/core/base_sampler/classes/BaseSampler.md,sha256=hxiv7ZJyf5nKYMxxyKbaOBVjFD_B3LgTY-fXGZqnd0Y,645
docs/api/torchebm/core/base_trainer/index.md,sha256=lLoOGShkRj0WlKzn3klF6ERdCUn01LqYbmARAhltWpg,817
docs/api/torchebm/core/base_trainer/classes/ContrastiveDivergenceTrainer.md,sha256=zqLN15ZQHOhnWgVnMub2fWWZT-LoKppZsY6xNqO65UU,662
docs/api/torchebm/cuda/index.md,sha256=PyN1kwuI2ao4p3zeN1Fj4AUJNLTlyNxuHh-mHkj23GA,709
docs/api/torchebm/datasets/index.md,sha256=p_2rqbqAn4vRmzac3Dnp1vONHEnDLTc9rvb1QZFqz18,767
docs/api/torchebm/datasets/generators/index.md,sha256=fqMtxLytXUL9_cQpKPnlCrYGTAjrZUFbLCBf3DjrMqs,1707
docs/api/torchebm/datasets/generators/classes/BaseSyntheticDataset.md,sha256=AwT6xUZ3_M5Dp5-1DYRMlLC9H8FcP9HTzl0ytvteww0,656
docs/api/torchebm/datasets/generators/classes/CheckerboardDataset.md,sha256=KvzlLI6MYk8Ypi-GKfPBLNdD9nl30Cl8NFb9SGSf__o,655
docs/api/torchebm/datasets/generators/classes/CircleDataset.md,sha256=_z0hD-IfkS8AP-lKb0BHoAKlHVi4s6Z4PXDOJPAzDbM,649
docs/api/torchebm/datasets/generators/classes/EightGaussiansDataset.md,sha256=kvdwwfdc0nG872Jq1MVc2mvSm7FXFiEfh4GizuYIroA,657
docs/api/torchebm/datasets/generators/classes/GaussianMixtureDataset.md,sha256=K-K2cUJ7l2Du0Jzqs2FacPp6byfIqqxJdluZ_WBxsFY,658
docs/api/torchebm/datasets/generators/classes/GridDataset.md,sha256=fFUfRAJWMp_RmYzecayJPHpabFu-rOLN0BluPMWBBbg,647
docs/api/torchebm/datasets/generators/classes/PinwheelDataset.md,sha256=Am5772jchb2bcQ76qtxnRCpYnGOC2sAr68FbwRUvh6A,651
docs/api/torchebm/datasets/generators/classes/SwissRollDataset.md,sha256=6Tp9SPELfCdM6KRjAwz-0mqlxHhR4ZcQllFUTDX9v6I,652
docs/api/torchebm/datasets/generators/classes/TwoMoonsDataset.md,sha256=Q4JOuLInzkeskWcnjT4ouAY9piAL1aId1qakYo3S_xE,651
docs/api/torchebm/losses/index.md,sha256=RlXHLhgaKDmbE0V-K9aECXTSJD7bAYk0M1eLyNOIPq4,831
docs/api/torchebm/losses/contrastive_divergence/index.md,sha256=rEqx_Vtzb_o9IJIE-JzazGz8q1tGxTTkhklT41Veung,1063
docs/api/torchebm/losses/contrastive_divergence/classes/ContrastiveDivergence.md,sha256=HZCociPM6zmXpFr91_A14aHW0y94LcFZ9JqtERBzWMU,667
docs/api/torchebm/losses/contrastive_divergence/classes/ParallelTemperingCD.md,sha256=U2-5ESm3bZjDVkrHsLK6pOROBihxFhjazxWle38nDvw,665
docs/api/torchebm/losses/contrastive_divergence/classes/PersistentContrastiveDivergence.md,sha256=f3LYNMu6nGZvFxBQEtGw5RjpdN0j8IRPqsxVCCv7Asw,677
docs/api/torchebm/losses/score_matching/index.md,sha256=NTZJdnESvFyeFFqjjbfYVOnW6LItNsK7uKCjkX5oALw,795
docs/api/torchebm/losses/score_matching/classes/ScoreMatching.md,sha256=FxdqjdOPiMSrzWcBvcqhuYPfw2pShiAIuGXvjw1FUEw,651
docs/api/torchebm/models/index.md,sha256=RYWb12opu3yi6o2WnfM-sCSK7v8dAca6Gfig7nRw2rQ,763
docs/api/torchebm/models/base_model/index.md,sha256=sCA96SoGj4niaNeee8oDwTLRtP17nYf0klgif1VNZPU,776
docs/api/torchebm/models/base_model/classes/BaseModel.md,sha256=OtHuxb7GXBUJzD_gQol4IyJBoYqt0MX3uD5mZzwsQQU,643
docs/api/torchebm/samplers/index.md,sha256=b-UZVHVynj9hrfbEz7ij-GB7YtLjBClM3aHKo-H_m6w,803
docs/api/torchebm/samplers/hmc/index.md,sha256=-O3H2uRe5pbHdinB0tKENb-6p_U_bIabDmeBhExpP7E,863
docs/api/torchebm/samplers/hmc/classes/HamiltonianMonteCarlo.md,sha256=-UaHJUWqC7GPYcahmhOu1MqlBrUlp4C2DBRX14J15_k,650
docs/api/torchebm/samplers/langevin_dynamics/index.md,sha256=bt99c7vYhpwRkl8kG7xTDYsZEEYw6rv5NOcQml2bILI,857
docs/api/torchebm/samplers/langevin_dynamics/classes/LangevinDynamics.md,sha256=h2WCL5_BgkRLCtnD18jlk1HD-IY7YXJwNcQ0t4fx-Cw,659
docs/api/torchebm/utils/index.md,sha256=qponXZ33Kk1OPOP7ZFhlz12vfpQgBksEhqBPEi-wvWw,767
docs/api/torchebm/utils/visualization/index.md,sha256=s30Z16TDD3jvU4ItwvrBj1oR3-FMrvcQXo7BqX0Z9t8,1163
docs/assets/images/energy_grid_bg.png,sha256=I5HuB65l7KOwhHPR6dWruGc4Kf-WP2Lg46Tl7-RXhoQ,1337799
docs/assets/images/favicon.svg,sha256=a2wiymFbezcH14rEd1aVVMjBAfHMN2jdg57z2QCsRBw,1341
docs/assets/images/logo_with_text.svg,sha256=S-aktOl7tolQMFz13X9apyPUMRZpZTF_v1w4U6Esya8,2180
docs/assets/images/nabla_icon.svg,sha256=m2oYApu8sY0W7CzSph-ZfsUlZCOSAtoD4FejX9S70zQ,8170
docs/assets/images/parallel.jpg,sha256=25PoyCGg7hqyywSAOB_JsYCg2RdevgKtPekuyl4-p0Q,51078
docs/assets/images/sampling.jpg,sha256=5N1RyCF2xnwj3kz-UKXepH1NEYHbLvsMngmpMiTMmBU,56120
docs/assets/images/trajectory.jpg,sha256=B2schP7-vu1g3rn4-xDgr1sFPbQNcGD88HGwdbg6WXM,57078
docs/assets/images/blog/hamiltonian/non-L-pendulum.png,sha256=oZwo3DvZzWybbRp895aSa9FNm3sNuzurhhyOlgmbEKI,232183
docs/assets/images/blog/hamiltonian/numerical_err.png,sha256=KP6GCw5q5aBlHnBjnz8qfCdmqWl_dXNoHmPFUIsr5mU,223635
docs/assets/images/blog/hamiltonian/pendulum_phase_space.mp4,sha256=LI4-Bw5XfnHgfkJKFW3W-RkEk5agTHv3Uzr7w8JfNXk,1059247
docs/assets/images/blog/hamiltonian/quadratics.png,sha256=Rzj9Onq3bQd9OBqmn57yPSE6dRUwqDAbZXPW5rxv6dI,287461
docs/assets/images/datasets/checkerboard.png,sha256=DmP9jzfoukxRt0WD5Lb3QFSelCaYVe1WcaGq1FmVa6Q,582340
docs/assets/images/datasets/circle.png,sha256=wAIIDb3ht_9_LsUOofenyzaQHFfuuNBUkJoGq6Bxcak,333033
docs/assets/images/datasets/eight_gaussians.png,sha256=1muOinE9D-3TxKhDAvC2ZV27-hXQ0WyWFaAfY76aa6A,111616
docs/assets/images/datasets/gaussian_mixture.png,sha256=hQowPJu0FtRdZaRP2XpjyuQfLMxm2IB0nC_muaHkxEg,214604
docs/assets/images/datasets/grid.png,sha256=HVGjaIM-nvZ1rQxFBqaSuGylHsere0nwECKwlYTMick,273926
docs/assets/images/datasets/pinwheel.png,sha256=xV_o1WV34MbtfEQZD0Ax8j4qGCRBf0AIpnFpE_-VOUY,486528
docs/assets/images/datasets/swiss_roll.png,sha256=SCZXOkxop7o4_dRbkcFAIm-Ctpw4jL6vtB8BoQ7Rk9Q,175944
docs/assets/images/datasets/two_moons.png,sha256=11qQciGm4iESvObl-46rQJBtMP5N4IUcN7xD4U7o3sA,184526
docs/assets/images/e_functions/ackley.png,sha256=6bVEoEIh3rZjGKGTx50pb6DCbmBmmxOJawLnsuSsOb4,688461
docs/assets/images/e_functions/double_well.png,sha256=EX5uARw7uoFMls9oKTl1qSU7X2BVjD-ZvUXJkZ73WAc,898049
docs/assets/images/e_functions/gaussian.png,sha256=_vVzwFPKhZYIom2fkX-PdKZCibpELrhBBXAtEIZ3fs4,765085
docs/assets/images/e_functions/harmonic.png,sha256=GvqMC-xmw9onEr_bOQiR5rDaYQWY0Nq6C54tjEXfGw4,764004
docs/assets/images/e_functions/rastrigin.png,sha256=xqf2XDRPASQTrQ-WQYOsxHR-MoPasT6ho46x5M8ERKY,872902
docs/assets/images/e_functions/rosenbrock.png,sha256=VEAd5tKGa0KQqm4oEosNUZlOU2Rg6uRtioIFKz4Tqz8,965668
docs/assets/images/examples/double_well_trajectory.png,sha256=PrGXwrTJ8teovj4y9A_D3bSwMWLkOqc6H_PldfOBTKY,294474
docs/assets/images/examples/energy_landscape_epoch_10.png,sha256=5Z25p1X6PFEvq4IKyWDtux_kspYUGHnKnDDr-gAhAp0,195370
docs/assets/images/examples/energy_landscape_epoch_100.png,sha256=5QHU0blV7_wORe6Nw59PWOzhw2nmUvSePvz4m17DjJQ,120016
docs/assets/images/examples/energy_landscape_epoch_20.png,sha256=CLJVwNqODQCADOGntlfm6NSOr1vpX4XIsH6DrDoofjI,158315
docs/assets/images/examples/energy_landscape_epoch_30.png,sha256=8dLqT0hd9qAzzkQa7aSHtJElMccSyPAioWtIxkYGUhE,131972
docs/assets/images/examples/energy_landscape_epoch_40.png,sha256=q5z6VxdxSGZm5kRIah48xYIIRahxzwsKFRvFtET9WUk,126056
docs/assets/images/examples/energy_landscape_epoch_50.png,sha256=ylar5ywd7BIT6F-tUOrU9MPiL7YdpjJ613JJ3xxlAik,113316
docs/assets/images/examples/energy_landscape_epoch_60.png,sha256=HMED5pKkIHcbIMObNhWzMmylpm_5-y2tHeP_pQpXJTk,114320
docs/assets/images/examples/energy_landscape_epoch_70.png,sha256=nhgUdVX1E46evn5wcIrwVcQVliq60conbgDVStT04Zw,121322
docs/assets/images/examples/energy_landscape_epoch_80.png,sha256=U-HAkQ6uNNnjh-MdCsv9YrDJbTd5-io-Wxo4tvUMstE,126319
docs/assets/images/examples/energy_landscape_epoch_90.png,sha256=LxVGOVLUZMIcxUSuHsw4L73TyURZGwo7H_1pXFyHfl0,106237
docs/assets/images/examples/energy_landscape_final.png,sha256=s6hB47Hm_zhFbpl3ES_FIUQ7oOAMghcPtElBX3I31D4,118668
docs/assets/images/examples/gaussian_mixture_target.png,sha256=HwhQ4WiUtQSqj4Xzou-ZK95_4CtlRwtruKQv1WeQvws,29202
docs/assets/images/examples/hmc_basic.png,sha256=W5ysjXbAtBCj7N3ZvnsAg66VCJkdXk8AmYfthDFZawY,483524
docs/assets/images/examples/hmc_comparison.png,sha256=iHBXnbKlyx2OGX1r_vM323ersPn7RyunHp3Shaac7Dg,1206548
docs/assets/images/examples/hmc_custom_mass.png,sha256=NTbDo9lQsYSoHG0KwIojtvjxnf1TCBGinhRqFpaA1mg,451927
docs/assets/images/examples/hmc_standard.png,sha256=f07kEaWDxJpotmBlFUeHgBspfy0QAIBKQeuPyxNzkfI,549452
docs/assets/images/examples/langevin_basic.png,sha256=mAKp22vdEddhltmg8pMpeTjSjiMtFXkglyCG28gKIvU,509977
docs/assets/images/examples/langevin_trajectory.png,sha256=sq5yTo2DDNe9kCqNeB_IU7w7HcXNfHcJd5MWX0upoSw,916287
docs/assets/images/visualization/advanced_energy_landscape.png,sha256=uBdjL873Per_bMrEyus6cw1go3maDHn5_Qcw2qa6_u8,1084262
docs/assets/images/visualization/basic_energy_landscape.png,sha256=MxsF6h1l2vpBba_BtEh9eo-WOvzxC0PYHLcgFdxa0Uw,1195944
docs/assets/images/visualization/distribution_comparison.png,sha256=bZ-cDt_wCquFfZAq7186oEKOUH52NBGXiBCkH3sQeus,753170
docs/assets/images/visualization/energy_evolution.png,sha256=MKQW7qPwkwbDxLdMVsqVLd0yDrsdbyCG7lHNtrn7rLQ,399414
docs/assets/images/visualization/interactive_visualization.png,sha256=MMve9oLCsfvXg0UMmBGlAEAhDtv8-C3o28CZY8d3Wt8,497990
docs/assets/images/visualization/langevin_trajectory.png,sha256=ezTVjAFZ66az7-YVcQaajPcNBf1o2sLhQw3gRzxTLIk,589015
docs/assets/images/visualization/multiple_chains.png,sha256=thLYN69_knPRcDF9rsFajLnzGuoIP8pEdU-dhq15K2E,4385794
docs/blog/.authors.yml,sha256=LAl8XEBUkwXRqieCx0u5TmRGCVU9S2CKzRa6MJTrEF8,571
docs/blog/index.md,sha256=dxyVuOCFbLqYd46Y51AoWouZ7WTfsXOCE7x3OB1lQQw,1220
docs/blog/posts/code-examples.md,sha256=6_Ysv-T9FKHNLokM2-7KKw2x10mFdCT8_w-Ipj62B4c,1586
docs/blog/posts/hamiltonian-mechanics.md,sha256=a1Jy85misEhuXA-DepmVNeYAb_D_Qpug4N1nFypLF0U,41358
docs/blog/posts/langevin_dynamics_sampling.md,sha256=ihDgJGS4JTHylqrpe0l3iEziuUcKnTGfn-nfy810QBw,3792
docs/blog/posts/neural_energy_functions.md,sha256=TnkADSzCLOkvAiyYlTOq37OIAr5Tgp40gkusdAEia6Q,137
docs/blog/posts/schrodinger-bridges.md,sha256=CCzXX4tXhxEYz38aw66XDWZmOcLcABpg_RyCMrW172w,207
docs/developer_guide/api_design.md,sha256=rLeDZb3yGfBX18aP4idJt972S0Djhrbp1p6g2RSNNn0,8096
docs/developer_guide/api_generation.md,sha256=Ahnki5qsKRKIDIi9AvHHPOFu672gvGdty99fajCN9nY,6548
docs/developer_guide/architecture.md,sha256=bFfURe3XXeD0PATGssCYB1WtO6ckoud2R7Xp9XnWdwg,4790
docs/developer_guide/code_style.md,sha256=2jVtArJ-Z9DpzPUY2T9nliyAW87wy4HdA1mXz8mlfeY,7279
docs/developer_guide/commit_conventions.md,sha256=66UzUuYjQzSIUJl2uT69S9Ah5lepBtdv5zYkPcmmW9Q,3163
docs/developer_guide/contributing.md,sha256=vJtNe9mK3Vv6YDKdbvJO0gt8LYGXXj8I2zhV6QaIzKQ,7486
docs/developer_guide/core_components.md,sha256=AttEf342TJP0lBy76oe86ZYNRKN-6X_EYP-uHJVulug,18057
docs/developer_guide/cuda_optimizations.md,sha256=jtnj0q4q7UiIWKeFtRkKG0J2k8Wy6E95cXhdBe76FmU,17235
docs/developer_guide/design_principles.md,sha256=2W5Jt78FI8USNyQTUloI8c3P3EkUMttwWv7lfzQYfBs,8959
docs/developer_guide/development_setup.md,sha256=tWxOQZg8f2X9iAYmZGtOiFmT3oTHqGH0qp2jWD1AV_I,3675
docs/developer_guide/implementation_energy.md,sha256=AsTXccGdH-Gy9ggjKz2PsnhkDQLw9lwbBDV2ruZ-Ol0,20101
docs/developer_guide/implementation_losses.md,sha256=lA_kfZ6qkQAI2K8EIgQIo4eza8n3oP4FjA_AZ3Udpto,25161
docs/developer_guide/implementation_models.md,sha256=ortBK97oWEvpboXdIk4z1ZEqwsopIe02q3qiKnHHwcI,13788
docs/developer_guide/implementation_samplers.md,sha256=ewATQD92mIwgtjlyzw201zIKqqTANNtPzpt3YdY3B8I,14842
docs/developer_guide/index.md,sha256=8muy1QlCcMYakV0rT2Ynrecpe5EPE7cAurh8Yq0YMAY,5532
docs/developer_guide/performance.md,sha256=uSnQMCWxYWbB30bmBH5a34fKonNkVV8Ghml9RtLHu7c,8464
docs/developer_guide/project_structure.md,sha256=d2_OaudLjtVpnmRBWLyS9FOTvyyoovswWsOXgdMYp7M,6989
docs/developer_guide/testing_guide.md,sha256=Wczx2l2PjxS5VKt1Fnoab35uhsCZAr-ingfz6HiVVUM,8427
docs/examples/index.md,sha256=sUyezYG3fBam7WUfDJhce-cPX4saZpQgBg0loKmKhGw,3836
docs/examples/datasets/index.md,sha256=uJqHYplj5pDJ50ufjbPn8lNbxthJ10Zhfb1EUtWdRFQ,15048
docs/examples/energy_functions/index.md,sha256=5LfiXcvEYjX4oxfiYcLiqX4Ml3UJgB7ofoRyLAHxMcE,3639
docs/examples/samplers/hmc.md,sha256=ICISpdZKbo3KY2DnJRIYWffopPwky3PbReA4pM7nRYc,9954
docs/examples/samplers/langevin_dynamics.md,sha256=eHtds0TOg6-XYQnWNXqG5AKGtqQmigTA8pOApJsPaG4,9440
docs/examples/samplers/langevin_trajectory.md,sha256=y6_4F4DeBsk7I4r-Hjf42fg67fvbbn5lgE56Mt0nr3U,10031
docs/examples/training/training_ebm_gaussian.md,sha256=FlA0D7ZYeF4AfyCsRXBZ-ZSJ6Rn4lCOlDBzpslkNm54,20902
docs/examples/visualization/energy_visualization.md,sha256=fqVDlkxt_t-gdIJdbMxssbLe1woa1R9pWNblEqdJLKM,7152
docs/examples/visualization/index.md,sha256=3G1VwVF4-IJCZPIywM7Op0t5TXwakXRwa5Ys7xkzyiM,4997
docs/guides/custom_neural_networks.md,sha256=JkVq9_hudf6rLMQ2Seipo5gfpmhySWc-Hewp1y5Sylo,13995
docs/guides/energy_functions.md,sha256=8temDWQijjGbNJ6V6K81SIzZf7CGgv7c-1esc9vFPDo,4331
docs/guides/getting_started.md,sha256=34IoCJ7IsaKg5Jkq3ouW34qv9yGnb13wTxrUm4Wpczc,2182
docs/guides/index.md,sha256=g_W-xSy9wtwR6sQ7hrg7nj3OfH8kbdJP2FAf0UmD2iM,4019
docs/guides/introduction.md,sha256=0ZB8xQJhZQuwcUr_upSofEcOu85tQQHfRrdmrtNnGQg,3237
docs/guides/loss_functions.md,sha256=iamgOkz-4tAiS5q5mPlHG0JAg1UadvdK8m88mZaAEEE,6003
docs/guides/parallel_sampling.md,sha256=t7ThrHkl6AbuFniVTbrXQUKwbeGAifdCy3f4OzpQASU,635
docs/guides/samplers.md,sha256=0E7GqH5lqHiLX_jRnBJU1Efz9A1QYnHsRGJ7pO7BA_4,5016
docs/guides/training.md,sha256=Vn4E2uNjbuNQ30IP2Czl6lYHSKSVXufef4x17bOTWlE,18598
docs/guides/visualization.md,sha256=0LAtLlZ7-paMySTW3DK1sq2gl6y1qF0A0u4-xlcu6Vw,13614
docs/hooks/socialmedia.py,sha256=a7mo0QRhROjOFmIJQB4-HImHG0Ylj6jTjkILlikH-Tg,900
docs/overrides/partials/outdated.html,sha256=f-x4O42uh9wX13Nu6HtlxW0QQfDVKBHXtOz9kuUvOrU,266
docs/stylesheets/extra.css,sha256=MrPPgP8pGU7LRlVLtGsdb6LQhzdQLd2QL7Wwd5j1hMk,4796
examples/README.md,sha256=T38F9diaVdph-3FwGNTsLprNJfxQ64sSwnnQv7aY9j8,2750
examples/main.py,sha256=0_8ocAnZrKLymPIUf7h2UH7cRSbKMe30txsZaK2c-QY,3205
examples/core/energy_advanced.py,sha256=jrmd24a8ck94-V0u9WM1g-_tMvBavg_pzpVK2rbYJuA,3428
examples/core/energy_basic.py,sha256=b0RcZW6YoAhGfwSSkvHQ11L8lLKny6OrwEgRiMMk8ME,1618
examples/core/energy_functions/landscape_2d.py,sha256=b0RcZW6YoAhGfwSSkvHQ11L8lLKny6OrwEgRiMMk8ME,1618
examples/core/energy_functions/multimodal.py,sha256=wZ7WLPHmy-M1wNIUV36urjQwlNGhN5ZDmwpNGsb2HPU,3437
examples/core/energy_functions/parametric.py,sha256=qUxkz9dT0Svg4ZMDY4adyR9Zun8C0tBYwoGzCbBvr2k,1681
examples/datasets/generate_dataset_imgs.py,sha256=l1sM88UCTc2DUbdVg39AqplBkruZ0vbwnkHFpuOdCMc,7828
examples/samplers/hmc/advanced.py,sha256=dly7lRa8e7Jar5I8mEB3GvF_3m54gbsuad6DZScFneI,12911
examples/samplers/hmc/gaussian_sampling.py,sha256=ex-DalquINs4yfqM4i_bsmjilTfCJwVlpfapURFZZxU,13006
examples/samplers/hmc/mass_matrix.py,sha256=2uUoEWwFsro_dY2EAra41eGn3ztomfbmexlRBf3zQW0,3038
examples/samplers/langevin/advanced.py,sha256=guSPAaRVESVJ_YGNGm02GJO8qCmNvGVR3WfGvDbi8VI,7376
examples/samplers/langevin/gaussian_sampling.py,sha256=guSPAaRVESVJ_YGNGm02GJO8qCmNvGVR3WfGvDbi8VI,7376
examples/samplers/langevin/multimodal_sampling.py,sha256=abLgDfQBcFFWbvTK2hMVhGUc6XQWOscwfYI4hfT-YS4,5269
examples/samplers/langevin/visualization_trajectory.py,sha256=9MVXL1YyfJss7l3-Ahg3fTIWoHUT1QvuWuDEgfrD_wA,6847
examples/training_models/mlp_cd_training.py,sha256=21_PunnosgQAPF2YSK24ur_f2hsNf9Teuoi9XUBR9Ww,8378
examples/visualization/samplers_vis.py,sha256=6UvvcUReIwPp7rnTmmUAPaFdwF_tLAGdd6ULRRukjwk,6107
examples/visualization/utils.py,sha256=Cz4gKL4bcHGcxsS5VJ9mw8CWVfgzwcY35A4qqBu9PJQ,4643
examples/visualization/advanced/energy_evolution.py,sha256=Qr8AUdETPLvNbQsphoubRZGe_2e_C3WAlLbsVDqOjZg,1564
examples/visualization/advanced/energy_landscape.py,sha256=GGBhXkXIsJi1rt12M3tXzHwoqU0ldRarmsneTmH9nCI,1676
examples/visualization/advanced/energy_over_time.py,sha256=Qr8AUdETPLvNbQsphoubRZGe_2e_C3WAlLbsVDqOjZg,1564
examples/visualization/advanced/langevin_trajectory.py,sha256=TcfV4mZw9edALzuitNa21QVGWb7R07i378D-_FHynpE,2433
examples/visualization/advanced/multiple_chains.py,sha256=n4j5bOEMRZ4gORHzbkXE579EDnVXXe-hsi88VQF0nMg,2298
examples/visualization/advanced/multiple_doublewell.py,sha256=qUxkz9dT0Svg4ZMDY4adyR9Zun8C0tBYwoGzCbBvr2k,1681
examples/visualization/advanced/parallel_chains.py,sha256=n4j5bOEMRZ4gORHzbkXE579EDnVXXe-hsi88VQF0nMg,2298
examples/visualization/advanced/trajectory_animation.py,sha256=TcfV4mZw9edALzuitNa21QVGWb7R07i378D-_FHynpE,2433
examples/visualization/advanced/visualization_examples.py,sha256=xkjEo7hS725YStN5gxPd46C-DdKxmTd4p62Emek-2C4,6106
examples/visualization/basic/contour_plots.py,sha256=sBso14Q0MLrMPpBMV-zqoRI6bsP5SOxT5BmZQ5UWx8o,1217
examples/visualization/basic/current_energy_fns_vis.py,sha256=wZ7WLPHmy-M1wNIUV36urjQwlNGhN5ZDmwpNGsb2HPU,3437
examples/visualization/basic/distribution_comparison.py,sha256=Ti7aOShmDcrk4ORJPzwAGGzYoncaHYGOTrt9OKLj1No,2502
examples/visualization/basic/energy_fn_vis.py,sha256=Cz4gKL4bcHGcxsS5VJ9mw8CWVfgzwcY35A4qqBu9PJQ,4643
examples/visualization/basic/energy_landscape.py,sha256=sBso14Q0MLrMPpBMV-zqoRI6bsP5SOxT5BmZQ5UWx8o,1217
tests/conftest.py,sha256=HCR3cvfCL5zhEIKWoMg_rte4A0i1U_FRXjbf4WfwWsA,1155
tests/core/test_energy_function.py,sha256=Sw9Pq2tQqmUbrJBUpX6OAmnHWAwrhHmy_5ES7x7aX_o,1502
tests/core/test_loss.py,sha256=ufiQGgd0avEb9kFPOdzRG56lcbzLhzGARaRE0SsQL9w,9998
tests/datasets/test_generators.py,sha256=bhk86UoqWa_DM5bay4Zr1-9k2fy0JDDAc8hncD6NAwE,11458
tests/losses/test_contrastive_divergence.py,sha256=WLxlxN0eXugwTzDVbV4CESEFZt2mIGYPZFGhjLjBo8A,12587
tests/samplers/test_hmc.py,sha256=crUyqo3WkxEUkP3HEKaDitfcxuhjc_86m5vdYXgNORo,17494
tests/samplers/test_langevin_dynamics.py,sha256=nf3bPQxZPrXhAqq3UfCRCJYJ8981RnOB1jX9fCWxSRM,5507
torchebm/__init__.py,sha256=c-spRtG_YrtwJSUY7gwS-nHGRL3JjSNVoW_Nx3UNeb4,436
torchebm/_version.py,sha256=AGmG_Lx0-9ztFw_7d9mYbaYuC-2abxE1oXOUNAY29YY,511
torchebm/core/__init__.py,sha256=DQJ7JOU7sgve-H2Z5JY8Dt0PQYrwXgi6-1c1R0vjloM,879
torchebm/core/base_energy_function.py,sha256=zlvnQQXnfas7YRM_dIK6vAqKUpVmiVC5mPe0h_c6kZI,19066
torchebm/core/base_loss.py,sha256=dzxBCpyql08wUiyGQoyXEHPc4lOpd7Nj7ahge2AqXf8,7394
torchebm/core/base_optimizer.py,sha256=VZp8l0qGDR0N7VxV2jQmYaiVT49dF-Rczac7OTDZ0YA,469
torchebm/core/base_sampler.py,sha256=wRYAJcez8sOHjDDFlmUdSC5BJqGz2KKbdkQ-VWA-VaU,2836
torchebm/core/base_trainer.py,sha256=dpI-3pRN_3U-ic9J01Y_bZfuOJwI25OE_CpK5F4-Mmw,1287
torchebm/cuda/__init__.py,sha256=6ZmN8eJbsWAyfI8aHjlIq-nbG_ImqUBYiXzlHrAyw2k,216
torchebm/datasets/__init__.py,sha256=2tdh1XshOMt4bAdtLYEppSn1s8mUF4qnTHezd-x5zdA,420
torchebm/datasets/generators.py,sha256=-1fHTnaqdvVA0lEW5ieXsejgHcHnpCDWKRhkGZEMBUM,52147
torchebm/losses/__init__.py,sha256=D8Ob-GKdt7_6pviHX-FZ9R7QzmXiQART3Q-VXPqMdmE,344
torchebm/losses/contrastive_divergence.py,sha256=EwvGiguEx7lHvjLuqLPedUAyVHG-ZQQNrMl3P5NNWkg,13293
torchebm/losses/score_matching.py,sha256=JNQwS71pFitM6KhdR41qJT_6n_MV4wXD5kYrrkLexRI,1820
torchebm/models/__init__.py,sha256=WUP6V6PIICvue5Z08f5EOiRqfWL0S94qqiUl-yeKx1g,155
torchebm/models/base_model.py,sha256=gr6GItMX6IJdTuI01JvHj8CVw8uhC3cLDG5K4Sk-sQA,996
torchebm/samplers/__init__.py,sha256=Qb3BkpZJFBdwhmlFflreNsksREWxS-mrRP6h-N_5wRM,303
torchebm/samplers/hmc.py,sha256=QSNXfyZJl7IjHX7b4e8_JEI1tfvyxbVmEzt2nP3gFTc,27372
torchebm/samplers/langevin_dynamics.py,sha256=lZGCl8ibhV5VouPqzzRlmfnDa64qlFTcI3w4fOx4q_s,14197
torchebm/utils/__init__.py,sha256=wdE_GB3kJusBZRDypDRkolZobvlX83ZuTFlf24ABecQ,386
torchebm/utils/visualization.py,sha256=BNe-0luo1P1o2s-pDAReW8qA8T7ZkGwyUqPNxsBhv04,12666
torchebm-0.3.0.dist-info/licenses/LICENSE,sha256=HeINI_-IOwxcykODWlBkhPmNSZLYWNlKJ0JV3b9K3WQ,1078
torchebm-0.3.0.dist-info/METADATA,sha256=BtQMGPm134KXcNaHgdJh8Rji1tlhwjjB3-4P7mpwbQk,10067
torchebm-0.3.0.dist-info/WHEEL,sha256=CmyFI0kx5cdEMTLiONQRbGQwjIoR1aIYB7eCAQ4KPJ0,91
torchebm-0.3.0.dist-info/top_level.txt,sha256=Gb7YptkCXi-WSrT_8SUIwkQQ3sUDgaNgi4lUSsSEvds,34
torchebm-0.3.0.dist-info/RECORD,,
