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All Algorithms implemented in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
scikit-learn: machine learning in Python
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
We have made you a wrapper you can't refuse
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Open source platform for the machine learning lifecycle
PyTorch implementations of Generative Adversarial Networks.
Daemon to ban hosts that cause multiple authentication errors
Create web-based user interfaces with Python. The nice way.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Bayesian Modeling and Probabilistic Programming in Python
Multi-user server for Jupyter notebooks
Model parallel transformers in JAX and Haiku
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
