Pre-trained Deep Learning models and demos (high quality and extremely fast)
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Updated
Sep 3, 2024 - Python
Pre-trained Deep Learning models and demos (high quality and extremely fast)
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
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
Please do not feed the models
Model Zoo For OpenCV DNN and Benchmarks.
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
An open-source platform for automating tasks using machine learning models
Discover pretrained models for deep learning in MATLAB
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
An efficient PyTorch library for deep generative modeling.
Spatio-Temporal Action Localization System
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
The NNEF Tools repository contains tools to generate and consume NNEF documents
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).
Implementations of various Deep Learning models in PyTorch and TensorFlow.
[CVPR 2021] Actor-Context-Actor Relation Network for Spatio-temporal Action Localization
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
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