Explore Projects
Discover 374 open source projects
Showing 81-100 of 374 projects
facebookarchive/caffe2
Caffe2 is a lightweight, scalable deep learning framework for building and deploying AI models.
nebuly-ai/optimate
A collection of Python libraries to optimize AI model performance, with a focus on large language models and deep learning.
CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other powerful models.
spring-projects/spring-ai
A Spring-based framework for building AI-powered applications and services.
stanfordnlp/stanza
A powerful Python NLP library for tokenization, sentence segmentation, named entity recognition, and parsing of many languages.
SciPhi-AI/R2R
A production-ready AI retrieval system with a RESTful API, built using Agentic Retrieval-Augmented Generation (RAG).
norvig/paip-lisp
Lisp code for the textbook 'Paradigms of Artificial Intelligence Programming'
tensorlayer/TensorLayer
A deep learning and reinforcement learning library for scientists and engineers, with support for TensorFlow.
google-deepmind/lab
A customizable 3D platform for agent-based AI research and development.
aliasrobotics/cai
A Python framework for building AI security tools and conducting cybersecurity pentesting with AI.
0x4m4/hexstrike-ai
AI coding tools for agents like Copilot and GPT
di-sukharev/opencommit
A feature-rich GPT wrapper for Git that generates commit messages with an LLM in 1 second, supporting various providers and local models.
RayVentura/ShortGPT
Experimental AI framework for automating video content creation on platforms like YouTube Shorts and TikTok.
alirezamika/autoscraper
A powerful, lightweight web scraping library for Python that can automate data extraction from websites.
instillai/machine-learning-course
An open-source machine learning course with Python, covering algorithms, AI, and more.
SerpentAI/SerpentAI
A Python framework for creating AI agents that can learn to play any game you own
deeppavlov/DeepPavlov
An open-source library for deep learning end-to-end dialog systems and chatbots.
interpretml/interpret
Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.
postgresml/postgresml
Postgres-based database with GPU acceleration for machine learning and AI applications.
adap/flower
Flower is a federated learning framework that enables machine learning on decentralized data.
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