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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)CSDI
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"ncsnv2
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)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 Variancesmile-mi-estimator
PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"MetaIRL
Meta-Inverse Reinforcement Learning with Probabilistic Context VariablesPatchDrop
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
fast_feedforward_computation
Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021STGAN
PyTorch Implementation of STGAN for Cloud Removal in Satellite Images.self-similarity-prior
Self-Similarity Priors: Neural Collages as Differentiable Fractal RepresentationsCrop_Yield_Prediction
NDA
sparse_gen
Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018dail
The Official Implementation of Domain Adaptive Imitation Learning (DAIL)lag-fairness
f-dre
Featurized Density Ratio Estimationbgm
Code for "Boosted Generative Models", AAAI 2018.fairgen
Fair Generative Modeling via Weak Supervisionbest-arm-delayed
Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.WikipediaPovertyMapping
Implementation of Geolocated Articles Processing and Poverty Mapping - [KDD19]dre-infinity
Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)Neural-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 2021EfficientObjectDetection
PyTorch Implementation of Efficient Object Detection in Large Imagesstreamline-vi-csp
bayes-opt
BestArmIdentification
pestat
Keep pestat greatpermanent_adaptive
rbpf_fireworks
PretrainingWikiSatNet
weighted-rademacher
gac
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