deep-learning

Self-contained Machine Learning and Natural Language Processing library in Go

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

This is a resouce list for low light image enhancement

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

Guide to using pre-trained large language models of source code

Collection of awesome interview references.

A curated list of data mining papers about fraud detection.

Text Classification Algorithms: A Survey

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Deep Learning tutorials in jupyter notebooks.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

静默活体检测（Silent-Face-Anti-Spoofing）

Interpretability and explainability of data and machine learning models

Discovering Interpretable GAN Controls [NeurIPS 2020]

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.