Qlib is Microsoft’s platform for quantitative research and machine learning in investment tasks.
Open Source: #machine-learning
Catalog projects marked with #machine-learning. Tags work as dedicated landing pages, so related tools are easier to find and connect.
This collection holds 60 projects with a combined 3,668,345 GitHub stars. Main languages: Python, Jupyter Notebook, C++.
About machine learning
Classic machine learning never went away: behind the generative-AI hype still stand gradient boosting, clustering, and battle-tested pipelines. Open source is the industry standard here — almost everything data scientists use daily is open.
The collection mixes libraries, courses, and tools: from teaching materials that walk through algorithms to production frameworks. Stars and community activity are an honest filter, and both are visible right on the cards.
Repositories
Streamlit is a Python framework for fast data apps, dashboards, and model interfaces.
Supervision is Roboflow’s Python library of reusable computer-vision tools.
TensorFlow Examples is a set of beginner-friendly TensorFlow learning examples.
Gradio is a Python library for quickly building web interfaces around models, functions, and data apps.
DeepSpeed is Microsoft’s library for optimizing distributed training and inference of large models.
AiLearning is a learning repository for data analysis, machine learning, and practical AI tasks.
Dive into LLMs is a practical learning course on large language models.
ColossalAI is a platform for cheaper and faster training of large AI models.
Faiss is Meta’s library for fast similarity search and clustering of dense vectors.