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Starred repositories
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A book-in-progress about the Linux kernel and its insides.
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Zipline, a Pythonic Algorithmic Trading Library
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
An open-source tool-augmented conversational language model from Fudan University
Modular visual interface for GDB in Python
NumPy aware dynamic Python compiler using LLVM
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Deep universal probabilistic programming with Python and PyTorch
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
bottle.py is a fast and simple micro-framework for python web-applications.
Efficiently computes derivatives of NumPy code.
Trio – a friendly Python library for async concurrency and I/O
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A tiny script to issue and renew TLS certs from Let's Encrypt
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.