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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
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.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Magnificent app which corrects your previous console command.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Scrapy, a fast high-level web crawling & scraping framework for Python.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A collection of design patterns/idioms in Python
🎨 Diagram as Code for prototyping cloud system architectures
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
LlamaIndex is a data framework for your LLM applications
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A toolkit for developing and comparing reinforcement learning algorithms.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Investment Research for Everyone, Everywhere.
Python packaging and dependency management made easy
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code and documentation to train Stanford's Alpaca models, and generate the data.
Instant voice cloning by MIT and MyShell.