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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 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
Models and examples built with TensorFlow
The Python micro framework for building web applications.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Developer-first error tracking and performance monitoring
Streamlit — A faster way to build and share data apps.
Making large AI models cheaper, faster and more accessible
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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!
Federated query engine for AI - The only MCP Server you'll ever need
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Free and Open Source Enterprise Resource Planning (ERP)
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,…
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Deezer source separation library including pretrained models.
Data validation using Python type hints
Graph Neural Network Library for PyTorch
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.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Saleor Core: the high performance, composable, headless commerce API.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities