6095 Open source projects that are alternatives of or similar to Aws Machine Learning University Accelerated Cv

Machine Learning University: Accelerated Tabular Data Class

Korean English NMT(Neural Machine Translation) with Gluon

Machine Learning University: Accelerated Natural Language Processing Class

.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/

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet

Insightface face detection and recognition model that just works out of the box.

kaggle Dog Breed Identification

Faster R-CNN implementation with MXNet Gluon API

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

LipNet with gluon

MXNet Gluon Synchronized Batch Normalization Preview

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Code for polyaxon tutorials and examples

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

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.

Official implementation of "Explicit Interaction Model towards Text Classification"

BiLSTM_CRF中文实体命名识别

A Gluon Implement of EfficientNet

AutoGluon: AutoML for Text, Image, and Tabular Data

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

TensorFlow Basic Tutorial Labs

Gluon implementation of "Objects as Points", aka "CenterNet"

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

用python做计算机视觉，人工智能，机器学习，深度学习等

Gluon implementation of EfficientNet and EfficientNet-lite

Ranking made easy

Gluon to PyTorch deep neural network model converter

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Neural Style and MSG-Net

baidu contest, url: http://dianshi.baidu.com/gemstone/competitions/detail?raceId=17

NLP made easy

Sandbox for training deep learning networks

A Comprehensive Tutorial on Video Modeling

A clear, concise, simple yet powerful and efficient API for deep learning.

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

Gluon to PyTorch deep neural network model converter

A tool to count operators and parameters of your MXNet-Gluon model.

Kaggle 120种狗分类，Gluon实现

Gluon CV Toolkit

Simulate quantization and quantization aware training for MXNet-Gluon models.

AI Video Processing/Upscaling With VapourSynth in Google Colab

PyTorch DataSet and Jupyter demos for MusicNet

Code Repository for the online course Feature Selection for Machine Learning

Blackbox attacks for deep neural network models

《深度卷积网络：原理与实践》现已在淘宝天猫京东当当发售. 这里是其中的代码下载.

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

자연어 처리와 관련한 여러 튜토리얼 저장소

Build a neural network to code a basic a HTML and CSS website based on a picture of a design mockup.

Phi_K correlation analyzer library

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

DSSG Workshops

Training Toolbox for Caffe

go binding for mxnet c_predict_api to do inference with pre-trained model