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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🦜🔗 The platform for reliable agents.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days, follow your own pace. These videos m…
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Minimal examples of data structures and algorithms in Python
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Ongoing research training transformer models at scale
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Machine Learning Resources, Practice and Research
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Learning Shell，Python，Golang，System，Network
Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch
Stockfish NNUE (Chess evaluation) trainer in Pytorch
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Hands-On GPU Programming with Python and CUDA, published by Packt
关于书籍CUDA Programming使用了pycuda模块的Python版本的示例代码
Practice The CodeSignal Pre-screen for the Industry Coding Framework.