#Mxnet
Showing 60 of 65 repositories tagged #mxnet, ranked by stars
State-of-the-art 2D and 3D Face Analysis Project
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
深度学习入门教程, 优秀文章, Deep Learning Tutorial
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Setup and customize deep learning environment in seconds.
Gluon CV Toolkit
MMdnn 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.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Probabilistic time series modeling in Python
An Engine-Agnostic Deep Learning Framework in Java
TensorFlow Basic Tutorial Labs
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
A high performance and generic framework for distributed DNN training
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Sandbox for training deep learning networks
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
NLP made easy
Machine Learning University: Accelerated Natural Language Processing Class
A library for training and deploying machine learning models on Amazon SageMaker
TensorLy: Tensor Learning in Python.
Machine Learning University: Accelerated Computer Vision Class
《深度学习与计算机视觉》配套代码
The collaboration workspace for Machine Learning
A collection of computer vision pre-trained models.
nGraph has moved to OpenVINO
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Multi Model Server is a tool for serving neural net models for inference
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
Understanding Convolution for Semantic Segmentation
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
Standalone TensorBoard for visualizing in deep learning
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:
Transfer Learning library for Deep Neural Networks.
A collection of Audio and Speech pre-trained models.
The Java implementation of Dive into Deep Learning (D2L.ai)
Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.
Deep Learning Benchmarking Suite
A container for Deep Learning with Python 3
Identifying diseases in chest X-rays using convolutional neural networks
this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet
mixup: Beyond Empirical Risk Minimization
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
ML/AI training/serving and agent sandbox operator and controller for Kubernetes
Source code of paper: (not available now)
Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.
Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)
A fast and light-weighted anime face detection based on LFFD.
Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original MXNet architecture which users deploy their applications seamlessly.
A collection of model deployment library and technique.
Code for tutorials and examples
Character Embeddings Recurrent Neural Network Text Generation Models
[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet
Dynamic 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.