ermongroup Goto Github PK

a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

acl

Code for "Adversarial Constraint Learning for Structured Prediction"

adaptive_hashing

alignflow

atlasdemo

demo for how to use atlas

bayes-opt

bcd-nets

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

best-arm-delayed

Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.

bestarmidentification

bgm

Code for "Boosted Generative Models", AAAI 2018.

biasandgeneralization

big-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

calibratedmodelbasedrl

Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.

controlvariatebound

crop_yield_prediction

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

cs323-notes

Course notes for CS323: Automated Reasoning

csdi

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

d2c

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

dail

The Official Implementation of Domain Adaptive Imitation Learning (DAIL)

ddim

Denoising Diffusion Implicit Models

dre-infinity

Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)

efficientobjectdetection

PyTorch Implementation of Efficient Object Detection in Large Images

ermongroup.github.io

f-dre

Featurized Density Ratio Estimation

f-ebm

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

f-wgan

Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020

fairgen

Fair Generative Modeling via Weak Supervision

fast_feedforward_computation

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

flow-gan

Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.