Open Source AI Projects
Discover 87+ curated GitHub repositories for building with AI. Updated daily with trending projects, frameworks, and tools.
Showing 1–5 of 5 projects
awesome-machine-learning
josephmisiti/awesome-machine-learning
Curated list of machine learning frameworks, libraries, and tools organized by programming language and application domain. Covers classical ML, deep learning, and specialized domains.
Comprehensive reference for discovering ML tools across different languages and domains with community-vetted recommendations.
scikit-learn
scikit-learn/scikit-learn
Mature Python machine learning library providing simple and efficient tools for data mining, data analysis, and predictive modeling. Built on NumPy, SciPy, and matplotlib with comprehensive algorithms.
Industry standard for traditional machine learning with excellent documentation, stability, and wide adoption across data science teams.
pytorch-image-models
⭐huggingface/pytorch-image-models
PyTorch Image Models is the largest collection of pre-trained image encoders and backbones including ResNet, EfficientNet, Vision Transformers, with comprehensive training and inference scripts.
Essential resource for computer vision developers needing state-of-the-art pre-trained models and proven training pipelines.
qlib
microsoft/qlib
Qlib is Microsoft's AI-oriented quantitative investment platform that integrates ML modeling paradigms for financial research, from idea exploration to production implementation.
Specialized toolkit for fintech developers building AI-powered trading systems and quantitative research applications.
posthog
PostHog/posthog
PostHog is a comprehensive Python-based developer platform combining product analytics, session replay, feature flags, experiments, and AI-powered debugging tools in one stack.
All-in-one analytics and experimentation platform with AI features that eliminates the need for multiple separate tools.