NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Pre-trained Deep Learning models and demos (high quality and extremely fast)

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Please do not feed the models

An efficient PyTorch library for deep generative modeling.

Model Zoo For OpenCV DNN and Benchmarks.

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

Discover pretrained models for deep learning in MATLAB

Spatio-Temporal Action Localization System

Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.

The NNEF Tools repository contains tools to generate and consume NNEF documents

Keras Model Zoo

[CVPR 2021] Actor-Context-Actor Relation Network for Spatio-temporal Action Localization

The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM) and Item Response Ranking framework (IRR).

Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

Acuity Model Zoo

【AAAI'2021】MVFNet: Multi-View Fusion Network for Efficient Video Recognition

A PaddlePaddle version image model zoo.

An open-source platform for automating tasks using machine learning models

Tensorflow workspaces for training your custom models of K210

Implementations of various Deep Learning models in PyTorch and TensorFlow.

A generic framework which implements some famouts super-resolution models

Convert Caffe models to ONNX.

Deep learning based tool for image processing. No need for Programing and GPU.

A collection of machine-learned models for use in autonomous driving applications.

A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.