Nest💡 A flexible tool for building and sharing deep learning modules.
Stars: ✭ 40 (-4.76%)
OpSummary.MXNetA tool to count operators and parameters of your MXNet-Gluon model.
Stars: ✭ 19 (-54.76%)
enhanced-ssh-mxnetThe MXNet Implementation of Enhanced SSH (ESSH) for Face Detection and Alignment
Stars: ✭ 54 (+28.57%)
YueA python library for music recommendation
Stars: ✭ 88 (+109.52%)
mtomoMultiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.
Stars: ✭ 24 (-42.86%)
audio-classificationAudio Classification - Multilayer Neural Networks using TensorFlow
Stars: ✭ 28 (-33.33%)
d2l-javaThe Java implementation of Dive into Deep Learning (D2L.ai)
Stars: ✭ 94 (+123.81%)
insightocrMXNet OCR implementation. Including text recognition and detection.
Stars: ✭ 100 (+138.1%)
crnn.mxnetcrnn in mxnet.can train with chinese characters
Stars: ✭ 47 (+11.9%)
onnx tensorrt projectSupport Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
Stars: ✭ 145 (+245.24%)
MXNetDotNet.NET wrapper for Apache MXNet written in C#
Stars: ✭ 13 (-69.05%)
mxnet-cpp-scratchSome deep learning models written with mxnet and C++11.
Stars: ✭ 14 (-66.67%)
Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
Stars: ✭ 26 (-38.1%)
capsnet.mxnetMXNet implementation of CapsNet
Stars: ✭ 30 (-28.57%)
MXNet-YOLOmxnet implementation of yolo and darknet2mxnet converter
Stars: ✭ 17 (-59.52%)
sfd.gluoncvReproduce SFD face detector using gluon-cv
Stars: ✭ 23 (-45.24%)
model-zoo-oldThe ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format
Stars: ✭ 38 (-9.52%)
megaface-evaluationA Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet
Stars: ✭ 34 (-19.05%)
NonLocalandSEnetMXNet implementation of Non-Local and Squeeze-Excitation network
Stars: ✭ 24 (-42.86%)
mlreefThe collaboration workspace for Machine Learning
Stars: ✭ 1,409 (+3254.76%)
Arch-Data-ScienceArchlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Stars: ✭ 92 (+119.05%)
AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Stars: ✭ 48 (+14.29%)
AAAI 2019 EXAMOfficial implementation of "Explicit Interaction Model towards Text Classification"
Stars: ✭ 68 (+61.9%)
mxboxSimple, efficient and flexible vision toolbox for mxnet framework.
Stars: ✭ 31 (-26.19%)
mloperatorMachine Learning Operator & Controller for Kubernetes
Stars: ✭ 85 (+102.38%)
deepspeech.mxnetA MXNet implementation of Baidu's DeepSpeech architecture
Stars: ✭ 82 (+95.24%)
softmaxfocallossthe loss function in Aritcal ‘Focal Loss for Dense Object Detection‘’
Stars: ✭ 16 (-61.9%)
onnx2tensorRttensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version
Stars: ✭ 14 (-66.67%)
mxtermexplore apache mxnet from the terminal / REPL
Stars: ✭ 20 (-52.38%)
gluon2pytorchGluon to PyTorch deep neural network model converter
Stars: ✭ 72 (+71.43%)
DLInfBenchCNN model inference benchmarks for some popular deep learning frameworks
Stars: ✭ 51 (+21.43%)
lipnetLipNet with gluon
Stars: ✭ 16 (-61.9%)
XLearning-GPUqihoo360 xlearning with GPU support; AI on Hadoop
Stars: ✭ 22 (-47.62%)
DLARMDLARM: Dissertation for Computer Science Masters Degree at UFRGS
Stars: ✭ 24 (-42.86%)
DockerKerasWe provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.
Stars: ✭ 49 (+16.67%)
robotFunctions and classes for gradient-based robot motion planning, written in Ivy.
Stars: ✭ 29 (-30.95%)
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 (+21.43%)
Audio-Classification-using-CNN-MLPMulti class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
Stars: ✭ 36 (-14.29%)
ytqck.github.ioYouTube quick ⚡ Search and Download Music for Free.
Stars: ✭ 18 (-57.14%)
iqiyi-vid-challengeCode for IQIYI-VID(IQIYI Video Person Identification) Challenge Implemented in Python and MXNet
Stars: ✭ 45 (+7.14%)
label-studio-frontendData labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Stars: ✭ 230 (+447.62%)