Stars
Veo 3 & Nano Banana Gemini API Quickstart
An open-source AI agent that brings the power of Gemini directly into your terminal.
100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Agentic components of the Llama Stack APIs
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
🔥Highlighting the top ML papers every week.
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
tloen / llama-int8
Forked from meta-llama/llamaQuantized inference code for LLaMA models
A collection of various deep learning architectures, models, and tips
An extremely fast Python linter and code formatter, written in Rust.
🧠 A study guide to learn about Transformers
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Stable Diffusion built-in to Blender
rom1504 / DALLE2-pytorch
Forked from lucidrains/DALLE2-pytorchImplementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
rom1504 / video2numpy
Forked from iejMac/video2numpyOptimized library for large-scale extraction of frames and audio from video.
A latent text-to-image diffusion model
Learning to trade under the reinforcement learning framework
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
MicroPython for ESP32 with psRAM support
Python Web Framework built for learning purposes
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…