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100 search results found

D2l En ⭐ 21,912

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 ⭐ 21,468

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Onnx ⭐ 16,275

Open standard for machine learning interoperability

Horovod ⭐ 14,334

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

The Unified AI Framework

Deeplearningexamples ⭐ 12,073

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Deeplearning ⭐ 7,463

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

Deepo ⭐ 6,312

Setup and customize deep learning environment in seconds.

Mmdnn ⭐ 5,810

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.

Deeplearningzerotoall ⭐ 4,425

TensorFlow Basic Tutorial Labs

Deep Learning In Production ⭐ 4,138

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

An Engine-Agnostic Deep Learning Framework in Java

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Byteps ⭐ 3,254

A high performance and generic framework for distributed DNN training

Deep Learning Model Convertor ⭐ 3,197

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Thinc ⭐ 2,774

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Imgclsmob ⭐ 2,399

Sandbox for training deep learning networks

Coach ⭐ 2,345

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Sagemaker Python Sdk ⭐ 1,994

A library for training and deploying machine learning models on Amazon SageMaker

Xlearning ⭐ 1,729

Deeplearningframeworks ⭐ 1,609

Demo of running NNs across different frameworks

Tensorly ⭐ 1,466

TensorLy: Tensor Learning in Python.

Mlreef ⭐ 1,403

The collaboration workspace for Machine Learning

Ngraph ⭐ 1,310

nGraph - open source C++ library, compiler and runtime for Deep Learning

Machine Learning Curriculum ⭐ 1,065

💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

Cv Pretrained Model ⭐ 991

A collection of computer vision pre-trained models.

Deep Learning Containers ⭐ 881

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Insightface_tf ⭐ 607

Insight Face on TensorFlow

GPU-accelerated Deep Learning on Windows 10 native

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.

Openvino2tensorflow ⭐ 262

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the

Facedetection ⭐ 256

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

Deeplearning Cfn ⭐ 244

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

Traffic_prediction ⭐ 237

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Keras_insightface ⭐ 208

Insightface Keras implementation

Dlbench ⭐ 166

Benchmarking State-of-the-Art Deep Learning Software Tools

D2l Java ⭐ 153

The Java implementation of Dive into Deep Learning (D2L.ai)

Tensorflow Osx Build ⭐ 132

Off-the-shelf python package of tensorflow with CUDA support for Mac OS.

Machine Learning Using K8s ⭐ 121

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

Dlcookbook Dlbs ⭐ 120

Deep Learning Benchmarking Suite

Ai Deployment ⭐ 116

关注AI模型上线、模型部署

Capsnet Pytorch ⭐ 94

Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`

Mloperator ⭐ 89

Machine Learning Operator & Controller for Kubernetes

Arch Data Science ⭐ 83

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Model Server ⭐ 76

gRPC server for hosting ML models trained on any framework in python

Benchm Dl ⭐ 75

Playing with various deep learning tools and network architectures

Benchmark ⭐ 74

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

Tengine Convert Tools ⭐ 72

Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.

Polyaxon Examples ⭐ 65

Code for tutorials and examples

Sagemaker Rl Container ⭐ 63

A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.

Nlp Pretrained Model ⭐ 63

A collection of Natural language processing pre-trained models.

Mobilefacenet_tensorflow ⭐ 62

Tensorflow implementation for [MobileFaceNet]

face detection and alignment with mtcnn

Mxnet Mtcnn ⭐ 57

mtcnn mxnet C++ implementation

《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.

Dlinfbench ⭐ 42

CNN model inference benchmarks for some popular deep learning frameworks

Resunet A ⭐ 39

For the semantic segmentation of remote sensing image, tensorflow implementation

💡 A flexible tool for building and sharing deep learning modules.

Backend.ai Kernels ⭐ 30

Repository of Backend.AI-enabled container recipes

Learning_framework ⭐ 28

Learning Python A.I Framework

Dl Benchmark ⭐ 21

Deep Learning Inference benchmark. Supports Intel® Distribution of OpenVINO™ Toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch and Apache TVM

Tensorflow Bilateral Permutohedral ⭐ 21

Port of permutohedral bilateral filtering to tensorflow as an op

Deep Learning Vm ⭐ 21

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

Multiple 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.

Pointcnn.mx ⭐ 16

A MXNet implemetation of PointCNN

Great Deep Learning Books ⭐ 16

A Great Collection of Deep Learning (e)Books

Aime Ml Containers ⭐ 16

AIME machine learning container management system

Capsnet Keras Imdb ⭐ 15

Anaconda3 ⭐ 14

Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳

Mechanics functions with end-to-end support for deep learning developers, written in Ivy.

Resnet Multipleframework ⭐ 14

ResNet benchmark by Keras(TensorFlow), Keras(MXNet), Chainer, PyTorch using Google Colab

Deep3d Tf ⭐ 13

TensorFlow Implementation of Deep3D+, a VGG19 expanded "deconvolution" network for doing depth estimation and in-painting for stereoscopic image generation.

Deeplearningzerotoall ⭐ 13

从0到1学习深度学习

Gluon2tf ⭐ 13

Model_deployment ⭐ 12

A collection of model deployment library and technique.

Ko_data_science_docker ⭐ 12

데이터 분석 모델링용 도커 이미지

D2l Study Group ⭐ 12

Repository supporting the study group based on the course book 'D2L'. Material would be added as we progress through the course.

modular face identification, tracking, and attribute extraction

Audio Pretrained Model ⭐ 11

A collection of Audio and Speech pre-trained models.

Deep Learning Practice ⭐ 11

this repository records my practices in deep learning

Ssd_realization_mxnet ⭐ 10

MXNet复现SSD目标检测网络

Amazon Sagemaker Managed Spot Training ⭐ 10

Amazon SageMaker Managed Spot Training Examples

Object_detection ⭐ 8

Object detection

Awesome Segmentation ⭐ 8

Bert Aspect ⭐ 8

BERT Fine-tuning for Aspect Based Sentiment Analysis

Capsulenet Pytorch ⭐ 8

Implemention of CapsNet from the paper Dynamic Routing Between Capsules

Tfs Workshop ⭐ 8

Deep Learning Inference hands-on labs; Learn how to host pre-trained TensorFlow/MXNet models to Amazon SageMaker Endpoint without building Docker Image

Deeplearning On Aws Workshop ⭐ 7

Lab materials of Deep Learning on AWS Workshop

MxNet to TensorFlow converter

Kinetics I3d Mxnet ⭐ 6

kinetics-i3d converted pre-trained model for mxnet

Mlalgorithms ⭐ 6

code of some basic machine learning algorithms

Doc Builder ⭐ 6

Simple Documentation Builder for Ivy Projects.

Pytorch Capsule Networks ⭐ 6

PyTorch Implementation of Capsule Networks in NIPS2017 and ICLR2018

Mobilefacenet_tensorflow_pretrain ⭐ 6

A tensorflow implementation from xsr-ai about mobilefacenet with pretrained parameters

Docker Dl ⭐ 5

Dockerfile for DeepLearn (Mxnet , Pytorch , Caffe2 , Tensorflow). This repository recommends developers to use, which covers cuda9.1, cudnn7.0, tensorflow1.8, opencv3.4.1, pytorch0.4.0, mxnet1.1 ,caffe,caffe2 .

D2l Keras ⭐ 5

d2l-ai tensorflow keras implementation (updating chapter 10 ...)

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Tensorflow Neural Network (2,134)

Tensorflow Neural (1,635)

Tensorflow Dataset (1,583)

Tensorflow Network (1,494)

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