Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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.

Streamlit — A faster way to build and share data apps.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

💫 Industrial-strength Natural Language Processing (NLP) in Python

PyTorch Tutorial for Deep Learning Researchers

The fundamental package for scientific computing with Python.

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,…

Code for the paper "Language Models are Unsupervised Multitask Learners"

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

Best Practices on Recommendation Systems

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Python Implementation of Reinforcement Learning: An Introduction

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

A hyperparameter optimization framework

Minimal and clean examples of machine learning algorithms implementations

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Open source annotation tool for machine learning practitioners.

Deep universal probabilistic programming with Python and PyTorch

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Implementation of Graph Convolutional Networks in TensorFlow

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

A Python scikit for building and analyzing recommender systems