Xiaohui9607

physical_interaction_video_prediction_pytorch

Based on Chealsea Finn's et al "Unsupervised Learning for Physical Interaction through Video Prediction"

f_anogan_pytorch

Code for reproducing f-AnoGAN in Pytorch

LLM_layout_generator

LLM as Layout generator designed for improving compositional ability of stable diffusion models

mmvp

Visual Next-Frame Prediction using Multisensory Perception for Embodied Agents

GNN-logic

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

RFF_pytorch

AbnormalBDL

COMP150 BDL FINAL PROJECT

action_detection

edgemap_for_video_behavior_classification

GRAN

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-substructure-networks

PDBF

PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

voc2coco

How to create custom COCO data set for object detection

cv

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

DiGress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

egnn-link

fNIRS-mental-workload-classifiers

Code for training, evaluating, and visualizing performance of mental workload classification using fNIRS BCI sensors

gae-pytorch

Graph Auto-Encoder in PyTorch

gnn-comparison

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

mine_selection

This is a paid industry project supported by a company

nsf

Code for Neural Spline Flows paper

pytorch-pl-variance-reduction

Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution, AAAI 2020 and NeurIPS 2019 Bayesian Deep Learning Workshop

SepNorm

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.