JiazeWang

chemCPA

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

InterFuser

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

uns20

pointMLP-pytorch

[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

RepSurf

[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"

permatrack

Implementation for Learning to Track with Object Permanence

OC_SORT

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

tracking_wo_bnw

Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

vod-converter

Convert between visual object detection datasets

ProbTransformer

Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design

awesome-ai-bioinformatics

A curated list of awesome AI and Bioinformatics.

vqgan-clip-generator

Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

AgentFormer

[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".

Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

mask-auto-labeler

Learning_the_COCO

MS COCO数据集使用教程学习笔记（目标检测）

ByteTrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

MOTRv2

[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

PointCutMix

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022

TokenMix

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)

ULIP

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

BEVT

PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Awesome-Trajectory-Motion-Prediction-Papers

awesome-implicit-representations

A curated list of resources on implicit neural representations.

ConvMAE

ConvMAE: Masked Convolution Meets Masked Autoencoders

ImageMol

ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.

ImageMol