Reinforcement learning algorithms

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

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Small ONNX inference runtime written in Rust

An experimental deep learning chatbot model of Celestial

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Open standard for machine learning interoperability

An Open Source Machine Learning Framework for Everyone

带你从零实现一个高性能的深度学习推理库，Implement a high-performance deep learning inference library step by step

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

Fast inference engine for Transformer models

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Mobile application developed for detecting quality of fruits.

This VAD library is designed to process audio in real-time and detect human speech in audio samples that have a mix of speech and noise. It supports both DNN-based Silero VAD and GMM-based WebRTC VAD models.

An Engine-Agnostic Deep Learning Framework in Java

oneAPI Deep Neural Network Library (oneDNN)

Scalable and user friendly neural :brain: forecasting algorithms.

JAX-based neural network library

Flexible transformer implementation for research

Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.

VAN-GAN: Vessel Segmentation Generative Adversarial Network

TensorFlow documentation

A Python library for Continual Inference Networks in PyTorch

Deep Learning with TensorFlow

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

Firefox Translations is a webextension that enables client side translations for web browsers.

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴