PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

Code release for NeRF (Neural Radiance Fields)

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

3D ResNets for Action Recognition (CVPR 2018)

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

李宏毅2021/2022/2023春季机器学习课程课件及作业

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Denoising Diffusion Probabilistic Models

Conditional Diffusion Probabilistic Model for Speech Enhancement

GLIDE: a diffusion-based text-conditional image synthesis model

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"

Official PyTorch implementation for a conditional diffusion probability model in BEV perception

Pytorch implementation of Conditional-GAN (CGAN)

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

A playbook for systematically maximizing the performance of deep learning models.

温州大学《机器学习》课程资料（代码、课件等）

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

OpenMMLab Detection Toolbox and Benchmark