#安卓#NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
翻译 - ⚡超级快速,轻巧的无锚物体检测模型。 1.8仅1.8mb并在手机上运行97FPS🔥
Pre-trained Deep Learning models and demos (high quality and extremely fast)
翻译 - 预先训练的深度学习模型和样本(高质量且快速)
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), ...
翻译 - 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]
#自然语言处理#Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
翻译 - PyTorch 中的开源预训练模型框架和预训练模型 Zoo
#安卓#An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
#自然语言处理#Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
An efficient PyTorch library for deep generative modeling.
翻译 - GenForce:高效的PyTorch库,用于深度生成建模(StyleGANv1v2,PGGAN等)
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
#Awesome#Discover pretrained models for deep learning in MATLAB
Spatio-Temporal Action Localization System
The NNEF Tools repository contains tools to generate and consume NNEF documents
[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
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 Fu...
【AAAI'2021】MVFNet: Multi-View Fusion Network for Efficient Video Recognition