model-zoo

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

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

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

TensorFlow Lite models, samples, tutorials, tools and learning resources.

GenForce: an efficient PyTorch library for deep generative modeling (StyleGANv1v2, PGGAN, etc)

Please do not feed the models

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

Spatio-Temporal Action Localization System

RobustBench: a standardized adversarial robustness benchmark [arXiv, Oct 2020]

Keras Model Zoo

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

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

A PaddlePaddle version image model zoo.

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

Acuity Model Zoo

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

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

Tensorflow workspaces for training your custom models of K210

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

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

【ACMMM 2021】DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning

A generic framework which implements some famouts super-resolution models

Implementations of various Deep Learning models in PyTorch and TensorFlow.

Literature and light wrappers for gaussian process models.

Scene recognition models based on pytorch1.x and TF2.x. Provide training, test and conversion scripts as well as many pretrained models.

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).

CoreML Model Zoo: collection of unified and converted pre-trained models