[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

A research protocol for deep graph matching.

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Learning from Synthetic Animals (CVPR2020, oral)

Graph Neural Network Library for PyTorch

Public code for Learning to play with intrinsically-motivated self-aware agents

Utilities for working with tensorflow

Learning Perceptual Inference by Contrasting

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Siamese and triplet networks with online pair/triplet mining in PyTorch

Intro to Reinforcement Learning (强化学习纲要）

Official implementation of CVPR2020 paper: "Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion" https://arxiv.org/abs/2003.04490

Code for our CVPR 2020 work.

A python module for scientific analysis of 3D data based on VTK and Numpy

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis

TTT Code Release

TTT Code Release

An Industrial Grade Federated Learning Framework

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

Flow-Guided Feature Aggregation for Video Object Detection

Deep Learning (Python, C, C++, Java, Scala, Go)