ermongroup

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

ddim

Denoising Diffusion Implicit Models

MA-AIRL

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

SDEdit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

sliced_score_matching

Code for reproducing results in the sliced score matching paper (UAI 2019)

Variational-Ladder-Autoencoder

Implementation of VLAE

Wifi_Activity_Recognition

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

ermongroup/cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

ermongroup/ddim

Denoising Diffusion Implicit Models

ermongroup/SDEdit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

ermongroup/ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

ermongroup/CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

ermongroup/ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

ermongroup/Wifi_Activity_Recognition

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

ermongroup/neuralsort

Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.

ermongroup/tile2vec

Implementation and examples for Tile2Vec

ermongroup/GraphScoreMatching

Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling

ermongroup/MetaIRL

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

ermongroup/PatchDrop

PyTorch Implementation of `Learning to Process Fewer Pixels` - [CVPR20 (Oral)]

ermongroup/pirank

PiRank: Learning to Rank via Differentiable Sorting

ermongroup/subsets

Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.

ermongroup/f-EBM

Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020

ermongroup/fast_feedforward_computation

Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021

ermongroup/BCD-Nets

Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021

ermongroup/self-similarity-prior

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations

ermongroup/NDA

ermongroup/fairgen

Fair Generative Modeling via Weak Supervision

ermongroup/f-dre

Featurized Density Ratio Estimation

ermongroup/dre-infinity

Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)

ermongroup/SPN_Variational_Inference

PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020

ermongroup/HyperSPN

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

ermongroup/gac

ermongroup/atlasdemo

demo for how to use atlas

ermongroup/LISA

(NeurIPS '22) LISA: Learning Interpretable Skill Abstractions - A framework for unsupervised skill learning using Imitation

ermongroup/BIG-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

ermongroup/d2c

PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.

ermongroup/private-rl

Code for `Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients', AISTATS 2024