Hongchi Xia

ccslack. connect your terminal (shell, cc, codex, ...) to slack

cosmos. NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

agents-course. This repository contains the Hugging Face Agents Course.

Research-Paper-Writing-Skills. Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's open notes for Codex, Claude Code, and Gemini.

TAVA. TAVA: Open-Vocabulary Action Recognition via Text Retrieval Augmentation and Visual Attribute Association

DRAWER-Real2Sim2Real. Python

sage. Official Code Release of SAGE: Scalable Agentic 3D Scene Generation for Embodied AI

stable-dreamfusion. Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

GET3D. Python

3D-PointCloud-Denoising. A paper list of 3D Point Cloud Denoising

Track-Anything. Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

CS3320_Project. Course project for CS3320 Data Visualization and Visual Analytics @ SJTU

BEVDepth. Official code for BEVDepth.

nerf2mesh. [ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

stable-diffusion-webui. Stable Diffusion web UI

rendeer. A 3D rasterizer in Python.

upscayl. 🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

DOOM-style-Game. DOOM-style 3D (raycasting) Game in Python Pygame

ConvNeXt-V2. Code release for ConvNeXt V2 model

ConvNeXt. Code release for ConvNeXt model

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-lamb. Implementation of https://arxiv.org/abs/1904.00962

policy-adaptation-during-deployment. Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

look-closer. Code for https://jangirrishabh.github.io/lookcloser/

Awesome-Masked-Autoencoders. A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

GitHub520. :kissing_heart: 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）

raytracing-opengl. realtime ray tracing

pifuhd. High-Resolution 3D Human Digitization from A Single Image.

XDC. Self-Supervised Learning by Cross-Modal Audio-Video Clustering (NeurIPS 2020)

videowalk. Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

dino. PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

sipser-computation-3rd-solutions. Solutions to all questions of the book Introduction to the Theory of Computation, 3rd edition by Michael Sipser

deit. Official DeiT repository

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

self-label. Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

CLIP. CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

deepmind-research. This repository contains implementations and illustrative code to accompany DeepMind publications

PointRCNN. PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

OpenPCDet. OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

pointnet2. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

MinkowskiEngine. Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

moco. PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

SLidR. Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"

Stanford-CS231n-2021-and-2022. Notes and slides for Stanford CS231n 2021 & 2022 in English. I merged the contents together to get a better version. Assignments are not included. 斯坦福cs231n的课程笔记(英文版本，不含实验代码)，将2021与2022两年的课程进行了合并，分享以供交流。

osblog. The Adventures of OS

CS188_Artificial-Intelligence. UC Berkeley CS188 & ShanghaiTech CS181: Projects, Homework, Notes

keras. Deep Learning for humans

EEGAN. Edge Enhanced GAN For Remote Sensing Image Super-Resolution

Deep-Learning-Specialization-Coursera. This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

cs229-2019-summer. All notes and materials for the CS229: Machine Learning course by Stanford University

deeplearning.ai. HTML

CS230. CS230 assignments

CS230-Code-assignments. 吴恩达深度学习课程课后作业

dragon-book-exercise-answers. Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。

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Linux_kernel_dev_scheduler. weight round robin scheduler

WRR-kernel-scheduling. WRR scheduling algorithm for linux kernel

suprotect. Changing memory protection in an arbitrary process

logiccards.

xv6-riscv. Xv6 for RISC-V

riscv-gnu-toolchain. GNU toolchain for RISC-V, including GCC

ostep-projects. Projects for an undergraduate OS course

ostep-code. Code from various chapters in OSTEP (http://www.ostep.org)

starve-free-reader-writers-problem. The solution to Reader-Writer's problem - a classical problem in the field of Operating Systems

Dragon-Book-Solutions. Compilers Principles, Techniques, & Tools (a.k.a purple dragon book) second edition exercise answers.

awesome-cs. 👨‍💻 ❤️ 💻 上海交通大学计算机系本科作业参考

neobundle.vim. Next generation Vim package manager

Vundle.vim. Vundle, the plug-in manager for Vim

pwndbg. Exploit Development and Reverse Engineering with GDB & LLDB Made Easy

RISC-V_Simulator. SJTU-ACM PPCA assignment 0.

CodingInterviewsNotes. 涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等