Zeroq[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
Stars: ✭ 150 (-31.19%)
Lq NetsLQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Stars: ✭ 195 (-10.55%)
mmrazorOpenMMLab Model Compression Toolbox and Benchmark.
Stars: ✭ 644 (+195.41%)
HrankPytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
Stars: ✭ 164 (-24.77%)
Kaggle RsnaDeep Learning for Automatic Pneumonia Detection, RSNA challenge
Stars: ✭ 74 (-66.06%)
DgmDirect Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.
Stars: ✭ 157 (-27.98%)
Awesome Ml Model CompressionAwesome machine learning model compression research papers, tools, and learning material.
Stars: ✭ 166 (-23.85%)
StreamvbyteFast integer compression in C using the StreamVByte codec
Stars: ✭ 195 (-10.55%)
Bert distillBERT distillation(基于BERT的蒸馏实验 )
Stars: ✭ 203 (-6.88%)
ViseronSelf-hosted NVR with object detection
Stars: ✭ 192 (-11.93%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (-2.75%)
PixelnetThe repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
Stars: ✭ 194 (-11.01%)
Yolov4 Custom FunctionsA Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Stars: ✭ 199 (-8.72%)
Person Detection And TrackingA tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
Stars: ✭ 193 (-11.47%)
CompressionNode.js compression middleware
Stars: ✭ 2,506 (+1049.54%)
Semantic Segmentation SuiteSemantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Stars: ✭ 2,395 (+998.62%)
DeepdetectDeep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stars: ✭ 2,306 (+957.8%)
Ros people object detection tensorflowAn extensive ROS toolbox for object detection & tracking and face/action recognition with 2D and 3D support which makes your Robot understand the environment
Stars: ✭ 202 (-7.34%)
Py R Fcn MultigpuCode for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe
Stars: ✭ 192 (-11.93%)
LuminothDeep Learning toolkit for Computer Vision.
Stars: ✭ 2,386 (+994.5%)
Uci Ml ApiSimple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Stars: ✭ 190 (-12.84%)
Pine🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
Stars: ✭ 202 (-7.34%)
Layout ParserA Python Library for Document Layout Understanding
Stars: ✭ 191 (-12.39%)
DatacompressionSwift libcompression wrapper as an extension for the Data type (GZIP, ZLIB, LZFSE, LZMA, LZ4, deflate, RFC-1950, RFC-1951, RFC-1952)
Stars: ✭ 191 (-12.39%)
LightnetplusplusLightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
Stars: ✭ 218 (+0%)
PyimsegmImage segmentation - general superpixel segmentation & center detection & region growing
Stars: ✭ 213 (-2.29%)
FcnChainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Stars: ✭ 211 (-3.21%)
BonnetalBonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
Stars: ✭ 202 (-7.34%)
Mem absaAspect Based Sentiment Analysis using End-to-End Memory Networks
Stars: ✭ 189 (-13.3%)
Sight👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models
Stars: ✭ 203 (-6.88%)
Paddle2onnxPaddlePaddle to ONNX model converter
Stars: ✭ 185 (-15.14%)
ClassifaiEnhance your WordPress content with Artificial Intelligence and Machine Learning services.
Stars: ✭ 188 (-13.76%)
IntradaUnsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
Stars: ✭ 211 (-3.21%)
Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
Stars: ✭ 202 (-7.34%)
Hms Ml DemoHMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.
Stars: ✭ 187 (-14.22%)
Torch2trtAn easy to use PyTorch to TensorRT converter
Stars: ✭ 2,974 (+1264.22%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (-10.09%)
SpoonnFPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
Stars: ✭ 186 (-14.68%)
CgnetCGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Stars: ✭ 186 (-14.68%)
7zip4powershellPowershell module for creating and extracting 7-Zip archives
Stars: ✭ 213 (-2.29%)
Yolodet Pytorchreproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5,YOLOv3, etc.
Stars: ✭ 206 (-5.5%)
PylzmaPython bindings for the LZMA library
Stars: ✭ 202 (-7.34%)
Eye In The Sky Satellite Image Classification using semantic segmentation methods in deep learning
Stars: ✭ 185 (-15.14%)
UltimatelabelingA multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker
Stars: ✭ 184 (-15.6%)
Laravel CategoriesRinvex Categorizable is a polymorphic Laravel package, for category management. You can categorize any eloquent model with ease, and utilize the power of Nested Sets, and the awesomeness of Sluggable, and Translatable models out of the box.
Stars: ✭ 199 (-8.72%)
FrcnnFaster R-CNN / R-FCN 💡 C++ version based on Caffe
Stars: ✭ 183 (-16.06%)
GeostatsA tiny and standalone javascript library for classification and basic statistics :
Stars: ✭ 183 (-16.06%)
Cnn From ScratchA scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Stars: ✭ 210 (-3.67%)