Stars
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of Python frameworks, libraries, tools, and resources.
All Algorithms implemented in Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
Rich is a Python library for rich text and beautiful formatting in the terminal.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
A collection of design patterns/idioms in Python
🎨 Diagram as Code for prototyping cloud system architectures
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit for developing and comparing reinforcement learning algorithms.
Python packaging and dependency management made easy
💫 Industrial-strength Natural Language Processing (NLP) in Python
The fundamental package for scientific computing with Python.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
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,…
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
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.