Popular GitHub Repositories for Low Resource Machine Translation

An Open Source Machine Learning Framework for Everyone

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Deep Learning for humans

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

Deepfakes Software For All

Investment Research for Everyone, Everywhere.

100 Days of ML Coding

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

?「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro！强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE，帮助Java项目解决80%重复工作，让开发更关注业务，提高开发效率、节省成本，同时又不失灵活性

Drag & drop UI to build your customized LLM flow

Learn how to design, develop, deploy and iterate on production-grade ML applications.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

12 Weeks, 24 Lessons, AI for All!

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.