NetronVisualizer for neural network, deep learning, and machine learning models
Stars: ✭ 17,193 (+33611.76%)
DeepoSetup and customize deep learning environment in seconds.
Stars: ✭ 6,145 (+11949.02%)
Deep Learning Model ConvertorThe convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Stars: ✭ 3,044 (+5868.63%)
XlearningAI on Hadoop
Stars: ✭ 1,709 (+3250.98%)
Mtcnnface detection and alignment with mtcnn
Stars: ✭ 66 (+29.41%)
FacerecognitionThis is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.
Stars: ✭ 137 (+168.63%)
caffeCaffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers
Stars: ✭ 36 (-29.41%)
PolyaxonMachine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
Stars: ✭ 2,966 (+5715.69%)
MmdnnMMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Stars: ✭ 5,472 (+10629.41%)
LiteflownetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Stars: ✭ 474 (+829.41%)
NgraphnGraph has moved to OpenVINO
Stars: ✭ 1,322 (+2492.16%)
HorovodDistributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Stars: ✭ 11,943 (+23317.65%)
FacedetectionC++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now
Stars: ✭ 255 (+400%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (+1392.16%)
Test TubePython library to easily log experiments and parallelize hyperparameter search for neural networks
Stars: ✭ 663 (+1200%)
Mxnet2caffeconvert model from mxnet to caffe without lossing precision
Stars: ✭ 20 (-60.78%)
Ssd Models把极速检测器的门槛给我打下来make lightweight caffe-ssd great again
Stars: ✭ 62 (+21.57%)
Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Stars: ✭ 49 (-3.92%)
Pwc NetPWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Stars: ✭ 1,142 (+2139.22%)
FfdlFabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Stars: ✭ 640 (+1154.9%)
Deep Learning In ProductionIn this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Stars: ✭ 3,104 (+5986.27%)
Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
Stars: ✭ 13,376 (+26127.45%)
Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
Stars: ✭ 195 (+282.35%)
Caffe2 IosCaffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Stars: ✭ 221 (+333.33%)
Caffe64No dependency caffe replacement
Stars: ✭ 335 (+556.86%)
XLearning-GPUqihoo360 xlearning with GPU support; AI on Hadoop
Stars: ✭ 22 (-56.86%)
Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+13200%)
Deeplearning CfnDistributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow
Stars: ✭ 252 (+394.12%)
CapsnetCapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
Stars: ✭ 423 (+729.41%)
Mobilenet Ssd Realsense[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
Stars: ✭ 322 (+531.37%)
Mobilenet SsdMobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
Stars: ✭ 84 (+64.71%)
Image2LMDBConvert image folder to lmdb, adapted from Efficient-PyTorch
Stars: ✭ 58 (+13.73%)
adversarial-attacksCode for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Stars: ✭ 90 (+76.47%)
Caffe2-yolo-v3A Caffe2 implementation of the YOLO v3 object detection algorithm
Stars: ✭ 32 (-37.25%)
NonLocalandSEnetMXNet implementation of Non-Local and Squeeze-Excitation network
Stars: ✭ 24 (-52.94%)
AICamera newRecompile the library with caffe2 in pytorch stable(1.0) and re-implement the AICamera example provided by caffe2 officially.
Stars: ✭ 33 (-35.29%)
kaggleKaggle solutions
Stars: ✭ 17 (-66.67%)
superpixelRefinementSuperpixel-based Refinement for Object Proposal Generation (ICPR 2020)
Stars: ✭ 24 (-52.94%)
AAAI 2019 EXAMOfficial implementation of "Explicit Interaction Model towards Text Classification"
Stars: ✭ 68 (+33.33%)
ppqPPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
Stars: ✭ 281 (+450.98%)
EmotionChallengeSource code for 1st winner of face micro-emotion competition, FG 2017.
Stars: ✭ 37 (-27.45%)
dynamic-training-with-apache-mxnet-on-awsDynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.
Stars: ✭ 51 (+0%)
OCROptical character recognition Using Deep Learning
Stars: ✭ 25 (-50.98%)
3-D-Scene-Graph3D scene graph generator implemented in Pytorch.
Stars: ✭ 52 (+1.96%)
dstyet another custom data science template via cookiecutter
Stars: ✭ 59 (+15.69%)
learning2hash.github.ioWebsite for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io
Stars: ✭ 14 (-72.55%)
Nest💡 A flexible tool for building and sharing deep learning modules.
Stars: ✭ 40 (-21.57%)