Stars
Paper list in the survey paper: Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Implementing a complete Compiler for a simple C-like language using the C-tools Flex and Bison
[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
华南理工大学硕博士学位论文模板(LaTeX)。Latex templates for the thesis of South China University of Technology
本项目是基于pybullet和stable baseline3 的法奥机械臂的强化学习抓取训练代码
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021
PyCIL: A Python Toolbox for Class-Incremental Learning
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
On-Device Training Under 256KB Memory [NeurIPS'22]
【2022】科学上网、机场梯子，小白翻墙书图文攻略 | 翻墙/梯子/自由上网/SSR/V2Ray/
Graph Neural Network Library for PyTorch
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
A full pipeline AutoML tool for tabular data
这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。