Lists (18)
Stars
《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！🚀
This is the solutions for **ML code Challenges** / 机器学习挑战的参考答案，写着来玩
[ICML 2024] Official code repository for 3D embodied generalist agent LEO
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A flexible, high-performance 3D simulator for Embodied AI research.
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。
All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai
yuxuanwangJ2 / pytorch-tutorials-examples-and-books
Forked from bat67/pytorch-tutorials-examples-and-booksPyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
An adversarial example library for constructing attacks, building defenses, and benchmarking both
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Image-to-Image Translation in PyTorch
12 Weeks, 24 Lessons, AI for All!
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Official Code for DragGAN (SIGGRAPH 2023)
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This repository contains demos I made with the Transformers library by HuggingFace.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Natural Language Processing Tutorial for Deep Learning Researchers