Stars
An Open Source Machine Learning Framework for Everyone
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Production-Grade Container Scheduling and Management
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets.
Apache Superset is a Data Visualization and Data Exploration Platform
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
The Prometheus monitoring system and time series database.
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Distributed reliable key-value store for the most critical data of a distributed system
⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.
Bootstrap Kubernetes the hard way. No scripts.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Spark - A unified analytics engine for large-scale data processing
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
💫 Industrial-strength Natural Language Processing (NLP) in Python
PyTorch Tutorial for Deep Learning Researchers
DSPy: The framework for programming—not prompting—language models
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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,…
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.