deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1433)
Deep Learning model to analyze a large corpus of clear text passwords.
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
A differentiable PDE solving framework for machine learning
Deep learning in Rust, with shape checked tensors and neural networks
TinyML AI inference library
Gaussian processes in TensorFlow
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both im...
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get...
Generic U-Net Tensorflow implementation for image segmentation
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, S...
[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It sup...
A curated list of radar datasets, detection, tracking and fusion
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 r...
一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework
Neural Collaborative Filtering
Train AI models efficiently on medical images using any framework
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in thr...
yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌
TensorFlow template application for deep learning
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
(CRNN) Chinese Characters Recognition.
A Keras port of Single Shot MultiBox Detector
Code Repository for Liquid Time-Constant Networks (LTCs)
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
This is a resouce list for low light image enhancement
A general-purpose probabilistic programming system with programmable inference
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Self-contained Machine Learning and Natural Language Processing library in Go
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Collection of awesome interview references.
Guide to using pre-trained large language models of source code
A curated list of data mining papers about fraud detection.
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）
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy,...
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,...
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
Text Classification Algorithms: A Survey
Roadmap to become a Visual-SLAM developer in 2026
Interpretability and explainability of data and machine learning models
Deep Learning tutorials in jupyter notebooks.