1875 Open source projects that are alternatives of or similar to Model Quantization

Awesome GAN for Medical Imaging

Generalized Data-free Universal Adversarial Perturbations

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Perception toolkit for sim2real training and validation

Code for Tensorflow Machine Learning Cookbook

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Data augmentation for NLP, presented at EMNLP 2019

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Object classification with CIFAR-10 using transfer learning

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

SDK for TEE AI Stick (includes model training script, inference library, examples)

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

PaddlePaddle to ONNX model converter

The code for preparing the training data for crowd counting / segmentation algorithm.

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Tensorflow implementation : U-net and FCN with global convolution

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

Pruning and quantization for SSD. Model compression.

Deep Vessel Segmentation by Learning Graphical Connectivity

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Holistically-Nested Edge Detection

Keras implementation of a ResNet-CAM model

Android based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.

The U-Net Segmentation plugin for Fiji (ImageJ)

NN based lossless compression

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

CNN-RNN中文文本分类，基于TensorFlow

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

RMDL: Random Multimodel Deep Learning for Classification

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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

food image to recipe with deep convolutional neural networks.

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Medical image preprocessing and augmentation toolkit for deep learning

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Chinese Question Classifier (Keras Implementation) on BQuLD

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

FrostNet: Towards Quantization-Aware Network Architecture Search

BGP Hijack Detection

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Deep Learning For Computer Vision With Python

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Building a CNN based traffic signs classifier.

Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)

The Hitchhiker's Guide to Compression

Heavily optimized zlib compression algorithm

和鲸社区Kesci 水下目标检测算法赛（光学图像赛项）三等奖 单模方案