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Starred repositories
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Streamlit — A faster way to build and share data apps.
Python packaging and dependency management made easy
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Data validation using Python type hints
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Best Practices on Recommendation Systems
A very simple framework for state-of-the-art Natural Language Processing (NLP)
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Modin: Scale your Pandas workflows by changing a single line of code
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Open source annotation tool for machine learning practitioners.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
A Python implementation of global optimization with gaussian processes.