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An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
🤗 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.
Magnificent app which corrects your previous console command.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
Scrapy, a fast high-level web crawling & scraping framework for Python.
Streamlit — A faster way to build and share data apps.
TensorFlow code and pre-trained models for BERT
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
⚡ A Fast, Extensible Progress Bar for Python and CLI
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Image-to-Image Translation in PyTorch
Magenta: Music and Art Generation with Machine Intelligence
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
A Deep Learning based project for colorizing and restoring old images (and video!)
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.