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Zhan Tong's Projects

activitynet icon activitynet

This repository is intended to host tools and demos for ActivityNet

algoxy icon algoxy

Book of Elementary Algorithms and Data structures

arxiv-collector icon arxiv-collector

A little Python script to collect LaTeX sources for upload to the arXiv.

awesome-mim icon awesome-mim

Reading list for research topics in Masked Image Modeling

brewmymac icon brewmymac

BrewMyMac - 自动化备份 & 安装 macOS 应用程序

clrs icon clrs

:notebook:Solutions to Introduction to Algorithms

colossalai icon colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

diffusers icon diffusers

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

hybrik icon hybrik

Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

interview icon interview

Interview = 简历指南 + LeetCode + Kaggle

lightseq icon lightseq

LightSeq: A High Performance Library for Sequence Processing and Generation

maskformer icon maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

mmaction2 icon mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

ms-amp icon ms-amp

Microsoft Automatic Mixed Precision Library

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

tabby icon tabby

A terminal for a more modern age

tdn icon tdn

TDN: Temporal Difference Networks for Efficient Action Recognition

top-ai-conferences-paper-with-code icon top-ai-conferences-paper-with-code

This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

torch-scan icon torch-scan

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

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