Lists (1)
Stars
Curated list of project-based tutorials
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn: machine learning in Python
Scrapy, a fast high-level web crawling & scraping framework for Python.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Image-to-Image Translation in PyTorch
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
State-of-the-Art Embeddings, Retrieval, and Reranking
Datasets, Transforms and Models specific to Computer Vision
Python version of the Playwright testing and automation library.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
The easy-to-use and developer-friendly enterprise CMS powered by Django
Fast and Accurate ML in 3 Lines of Code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A modern Python package and dependency manager supporting the latest PEP standards
Automated Machine Learning with scikit-learn
Distributed Asynchronous Hyperparameter Optimization in Python