Fairylang

Fairylang's Stars

• PaddlePaddle/FastDeploy

  ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

  Language:C++2.9k454

• DefTruth/lite.ai.toolkit

  🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.

  Language:C++3.6k686

• tensorflow/model-optimization

  A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

  Language:Python1.5k319

• quic/aimet

  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  Language:Python2.1k374

• mlc-ai/mlc-zh

  Language:Python58463

• zysxmu/IntraQ

  Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization

  Language:Python311

• tding1/CDFI

  [CVPR 2021] CDFI: Compression-Driven Network Design for Frame Interpolation

  Language:Python11218

• 52CV/CVPR-2021-Papers

  2.5k312

• JDAI-CV/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  Language:Python1.9k433

• zma-c-137/VarGFaceNet

  Language:Python31084

• Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB

  💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

  Language:Python7.1k1.5k

• MirrorYuChen/mnn_example

  alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet

  Language:C++20561

• alibaba/MNNKit

  MNNKit is a collection of AI solutions for mobile developers, powered by MNN engine.

  Language:Objective-C638106

• alibaba/MNN

  MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

  Language:C++8.6k1.7k

• lmbxmu/HRank

  Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

  Language:Python25049

• IntelLabs/distiller

  Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

  Language:Jupyter Notebook4.3k800

• Tencent/PocketFlow

  An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

  Language:Python2.8k490

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k478

• AlexanderParkin/CASIA-SURF_CeFA

  Face Anti-spoofing Attack Detection Challenge@CVPR2020

  Language:Python15026

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.7k2.6k

• qyxqyx/AIM_FAS

  Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"

  Language:Python6419

• SeuTao/FaceBagNet

  FaceBagNet - Patch-based Methods for Multi-modal Face Anti-spoofing (FAS)

  Language:Python659200

• experiencor/keras-yolo3

  Training and Detecting Objects with YOLO3

  Language:Python1.6k861

• eriklindernoren/PyTorch-YOLOv3

  Minimal PyTorch implementation of YOLOv3

  Language:Python7.3k2.6k

• poloclub/cnn-explainer

  Learning Convolutional Neural Networks with Interactive Visualization.

  Language:JavaScript8k1.2k

• DayBreak-u/Thundernet_Pytorch

  Implementation Thundernet

  Language:Python27670

• zylo117/Yet-Another-EfficientDet-Pytorch

  The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

  Language:Jupyter Notebook5.2k1.3k

• hoya012/deep_learning_object_detection

  A paper list of object detection using deep learning.

  Language:Python11.3k2.8k

• google/automl

  Google Brain AutoML

  Language:Jupyter Notebook6.2k1.4k

• amusi/awesome-object-detection

  Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

  7.4k2k