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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.
A feature-rich command-line audio/video downloader
Tensors and Dynamic neural networks in Python with strong GPU acceleration
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A curated list of awesome Machine Learning frameworks, libraries and software.
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!
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
We have made you a wrapper you can't refuse
Deezer source separation library including pretrained models.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Image-to-Image Translation in PyTorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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.
☁️ Build multimodal AI applications with cloud-native stack
Datasets, Transforms and Models specific to Computer Vision
PyTorch implementations of Generative Adversarial Networks.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Python Implementation of Reinforcement Learning: An Introduction
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
A cross platform front-end GUI of the popular youtube-dl written in wxPython.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch