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cs228-notes
Course notes for CS228: Probabilistic Graphical Models.ddim
Denoising Diffusion Implicit ModelsSDEdit
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equationsncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)ncsnv2
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)CSDI
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"Wifi_Activity_Recognition
Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)Variational-Ladder-Autoencoder
Implementation of VLAEMA-AIRL
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.sliced_score_matching
Code for reproducing results in the sliced score matching paper (UAI 2019)neuralsort
Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.a-nice-mc
Code for "A-NICE-MC: Adversarial Training for MCMC"tile2vec
Implementation and examples for Tile2Vecflow-gan
Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.GraphScoreMatching
Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative ModelingSequential-Variational-Autoencoder
Implementation of Sequential Variational Autoencodermultiagent-gail
markov-chain-gan
Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)ssdkl
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive VarianceMetaIRL
Meta-Inverse Reinforcement Learning with Probabilistic Context Variablessmile-mi-estimator
PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"PatchDrop
PyTorch Implementation of `Learning to Process Fewer Pixels` - [CVPR20 (Oral)]generative_adversary
Code for the unrestricted adversarial examples paper (NeurIPS 2018)pirank
PiRank: Learning to Rank via Differentiable Sortinggraphite
Code for Graphite iterative graph generationCalibratedModelBasedRL
Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.ODS
Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"subsets
Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.necst
Neural Joint-Source Channel Codingcs323-notes
Course notes for CS323: Automated Reasoningmintnet
MintNet: Building Invertible Neural Networks with Masked Convolutionsf-EBM
Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020alignflow
higher_order_invariance
Code for "Accelerating Natural Gradient with Higher-Order Invariance"lagvae
Lagrangian VAEBiasAndGeneralization
BCD-Nets
Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021fast_feedforward_computation
Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021Crop_Yield_Prediction
NDA
sparse_gen
Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018self-similarity-prior
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representationsdail
The Official Implementation of Domain Adaptive Imitation Learning (DAIL)STGAN
PyTorch Implementation of STGAN for Cloud Removal in Satellite Images.bgm
Code for "Boosted Generative Models", AAAI 2018.best-arm-delayed
Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.f-dre
Featurized Density Ratio EstimationWikipediaPovertyMapping
Implementation of Geolocated Articles Processing and Poverty Mapping - [KDD19]fairgen
Fair Generative Modeling via Weak SupervisionNeural-PDE-Solver
SPN_Variational_Inference
PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020acl
Code for "Adversarial Constraint Learning for Structured Prediction"f-wgan
Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020HyperSPN
PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021dre-infinity
Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)EfficientObjectDetection
PyTorch Implementation of Efficient Object Detection in Large Imagesstreamline-vi-csp
bayes-opt
BestArmIdentification
permanent_adaptive
rbpf_fireworks
PretrainingWikiSatNet
pestat
Keep pestat greatweighted-rademacher
gac
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