🦜🔗 Build context-aware reasoning applications

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.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A programming framework for agentic AI 🤖

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

📡 Simple and ready-to-use tutorials for TensorFlow

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tiny vision language model

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Useful functions, tutorials, and other Python-related things

Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

The Open Source Memory Layer For Autonomous Agents

Open-source tool to visualise your RAG 🔮