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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Google Research
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
100-Days-Of-ML-Code中文版
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
💿 Free software that works great, and also happens to be open-source Python.
A collection of various deep learning architectures, models, and tips
深度学习入门教程, 优秀文章, Deep Learning Tutorial
12 Weeks, 24 Lessons, IoT for All!
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
High-Resolution Image Synthesis with Latent Diffusion Models
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
Foundational Models for State-of-the-Art Speech and Text Translation
This repository contains demos I made with the Transformers library by HuggingFace.
Best Practices, code samples, and documentation for Computer Vision.
Understanding Deep Learning - Simon J.D. Prince
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Sample code for Channel 9 Python for Beginners course
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。