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Top repositories

1

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.
SCSS
1,863
star
2

ddim

Denoising Diffusion Implicit Models
Python
1,270
star
3

SDEdit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
Python
933
star
4

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)
Python
630
star
5

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
Python
262
star
6

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
Jupyter Notebook
253
star
7

Wifi_Activity_Recognition

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
Jupyter Notebook
237
star
8

Variational-Ladder-Autoencoder

Implementation of VLAE
Python
216
star
9

MA-AIRL

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
Python
181
star
10

sliced_score_matching

Code for reproducing results in the sliced score matching paper (UAI 2019)
Python
133
star
11

neuralsort

Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
Python
133
star
12

a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"
Jupyter Notebook
125
star
13

tile2vec

Implementation and examples for Tile2Vec
Python
110
star
14

flow-gan

Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.
Python
104
star
15

GraphScoreMatching

Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
Python
97
star
16

Sequential-Variational-Autoencoder

Implementation of Sequential Variational Autoencoder
Python
84
star
17

multiagent-gail

Python
80
star
18

markov-chain-gan

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Python
79
star
19

ssdkl

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Python
72
star
20

MetaIRL

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Python
68
star
21

smile-mi-estimator

PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
Jupyter Notebook
67
star
22

PatchDrop

PyTorch Implementation of `Learning to Process Fewer Pixels` - [CVPR20 (Oral)]
Python
66
star
23

generative_adversary

Code for the unrestricted adversarial examples paper (NeurIPS 2018)
Python
63
star
24

pirank

PiRank: Learning to Rank via Differentiable Sorting
Python
60
star
25

graphite

Code for Graphite iterative graph generation
Python
55
star
26

CalibratedModelBasedRL

Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
Python
54
star
27

ODS

Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
Python
53
star
28

subsets

Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
Python
49
star
29

necst

Neural Joint-Source Channel Coding
Python
44
star
30

cs323-notes

Course notes for CS323: Automated Reasoning
CSS
40
star
31

mintnet

MintNet: Building Invertible Neural Networks with Masked Convolutions
Python
38
star
32

f-EBM

Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
Python
35
star
33

alignflow

Python
33
star
34

higher_order_invariance

Code for "Accelerating Natural Gradient with Higher-Order Invariance"
MATLAB
29
star
35

lagvae

Lagrangian VAE
Python
28
star
36

BiasAndGeneralization

Jupyter Notebook
26
star
37

BCD-Nets

Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
Python
24
star
38

fast_feedforward_computation

Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
Jupyter Notebook
24
star
39

Crop_Yield_Prediction

Python
23
star
40

NDA

Python
23
star
41

sparse_gen

Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
Python
23
star
42

self-similarity-prior

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Jupyter Notebook
22
star
43

dail

The Official Implementation of Domain Adaptive Imitation Learning (DAIL)
Python
22
star
44

lag-fairness

Python
22
star
45

STGAN

PyTorch Implementation of STGAN for Cloud Removal in Satellite Images.
Python
22
star
46

bgm

Code for "Boosted Generative Models", AAAI 2018.
Python
20
star
47

best-arm-delayed

Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.
Python
19
star
48

f-dre

Featurized Density Ratio Estimation
Jupyter Notebook
18
star
49

WikipediaPovertyMapping

Implementation of Geolocated Articles Processing and Poverty Mapping - [KDD19]
Jupyter Notebook
18
star
50

fairgen

Fair Generative Modeling via Weak Supervision
Jupyter Notebook
18
star
51

Neural-PDE-Solver

Python
15
star
52

SPN_Variational_Inference

PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
Python
15
star
53

acl

Code for "Adversarial Constraint Learning for Structured Prediction"
Python
14
star
54

f-wgan

Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
Jupyter Notebook
14
star
55

HyperSPN

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
Python
13
star
56

dre-infinity

Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)
Python
13
star
57

EfficientObjectDetection

PyTorch Implementation of Efficient Object Detection in Large Images
Python
8
star
58

streamline-vi-csp

C
7
star
59

bayes-opt

Python
4
star
60

BestArmIdentification

Python
3
star
61

permanent_adaptive

Python
3
star
62

rbpf_fireworks

Python
2
star
63

PretrainingWikiSatNet

Python
2
star
64

pestat

Keep pestat great
Shell
2
star
65

weighted-rademacher

Python
2
star
66

gac

Python
2
star