Model Zoo For OpenCV DNN and Benchmarks.
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Updated
Jul 18, 2024 - Python
Model Zoo For OpenCV DNN and Benchmarks.
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.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)
Code Repository for the ICML 2024 paper: "Towards Scalable and Versatile Weight Space Learning".
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
The NNEF Tools repository contains tools to generate and consume NNEF documents
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
An efficient PyTorch library for deep generative modeling.
Discover pretrained models for deep learning in MATLAB
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Please do not feed the 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).
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
Evaluation of timing performance of deep neural networks workloads accelerated on Versal AI Engine in presence of contention on shared resources, mainly caused by ARM Cortex A72 dual-core microprocessor.
Implementations of various Deep Learning models in PyTorch and TensorFlow.
🇰🇷파이토치에서 제공하는 모델 허브의 한국어 번역을 위한 저장소입니다. (Translate PyTorch model hub in Korean🇰🇷)
A repository of custom models specialized to various use cases.
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