Starred repositories
An open-source C++ library developed and used at Facebook.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Train transformer language models with reinforcement learning.
A high-throughput and memory-efficient inference and serving engine for LLMs
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
[ACM MM 2019] Official Implementation for MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Visualizer for neural network, deep learning and machine learning models
A library for efficient similarity search and clustering of dense vectors.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
General technology for enabling AI capabilities w/ LLMs and MLLMs
An incremental parsing system for programming tools
Bayesian Modeling and Probabilistic Programming in Python
Graph Neural Network Library for PyTorch
A system-level, binary package and environment manager running on all major operating systems and platforms.
A Comparative Framework for Multimodal Recommender Systems
An elegant PyTorch deep reinforcement learning library.
✨✨Latest Advances on Multimodal Large Language Models
Small C++ program to display images in a (modern) terminal using RGB ANSI codes and unicode block graphics characters
Best Practices on Recommendation Systems
Models and examples built with TensorFlow
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
Robust recipes to align language models with human and AI preferences
A curated list of awesome papers on dataset distillation and related applications.
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