TradingAgents: Multi-Agents LLM Financial Trading Framework

Inference Llama 2 in one file of pure C

A resource for learning about Machine learning & Deep Learning

MLX: An array framework for Apple silicon

A curated list of practical financial machine learning tools and applications.

Machine Learning in Finance: From Theory to Practice Book

Hands-on Deep Learning for Finance published by Packt.

The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Biscuit research OS

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Platform for designing and evaluating Graph Neural Networks (GNN)

🔊 Text-Prompted Generative Audio Model

Training and serving large-scale neural networks with auto parallelization.

LLM inference in C/C++

A List of Awesome Swift Playgrounds

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.

Basic Development Environment - a set of foundational C++ libraries used at Bloomberg.

Natural Language Processing Tutorial for Deep Learning Researchers

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

articles

The fundamental package for scientific computing with Python.

A curated list of references for MLOps

A collection of awesome software, libraries, documents, books, resources and cools stuffs about security.

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Gin provides a lightweight configuration framework for Python

A natural language modeling framework based on PyTorch