Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Deep learning in Rust, with shape checked tensors and neural networks
A differentiable PDE solving framework for machine learning
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Gaussian processes in TensorFlow
Generic U-Net Tensorflow implementation for image segmentation
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
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...
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
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 awesome Speaker Diarization papers, libraries, datasets, and other resources.
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...
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
TensorFlow template application for deep learning
(CRNN) Chinese Characters Recognition.
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 Keras port of Single Shot MultiBox Detector
A curated list of radar datasets, detection, tracking and fusion
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
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Code Repository for Liquid Time-Constant Networks (LTCs)
Self-contained Machine Learning and Natural Language Processing library in Go
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
A general-purpose probabilistic programming system with programmable inference
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Guide to using pre-trained large language models of source code
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.
Collection of awesome interview references.
Converted CoreML Model Zoo.
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy,...
Text Classification Algorithms: A Survey
A curated list of data mining papers about fraud detection.
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
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,...
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
Deep Learning tutorials in jupyter notebooks.
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Discovering Interpretable GAN Controls [NeurIPS 2020]
Awesome-pytorch-list 翻译工作进行中......
Interpretability and explainability of data and machine learning models
Interactive convnet features visualization for Keras
静默活体检测(Silent-Face-Anti-Spoofing)
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0