1655 Open source projects that are alternatives of or similar to Deepo

Visualizer for neural network, deep learning, and machine learning models

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

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

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.

deep-learning platforms,framework,data（深度学习平台、框架、资料）

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

nGraph has moved to OpenVINO

Deep Learning Benchmarking Suite

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Add-on package for ONNX format support in Chainer

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

CNN model inference benchmarks for some popular deep learning frameworks

arcface and retinaface model convert mxnet to onnx.

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

php wrapper for opencv

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

Resource scheduling and cluster management for AI

Convert image folder to lmdb, adapted from Efficient-PyTorch

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

Mxnet2Caffe_Tensor RT

pytorch to caffe by onnx

Samples and Tools for Windows ML.

Character Embeddings Recurrent Neural Network Text Generation Models

yolov5 onnx caffe

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

Training Diary

Out-of-box Data Science / AI platform | AI/数据科学的瑞士军刀

RNN benchmarks of pytorch, tensorflow and theano

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

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.

데이터 분석 모델링용 도커 이미지

关注AI模型上线、模型部署

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

Gluon to PyTorch deep neural network model converter

Convolutional AutoEncoder application on MRI images

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.

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Oriented Response Networks, in CVPR 2017

Chainer implementation of waifu2x

The On-Ramp to Deep Learning

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

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

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

Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)

Deep Reinforcement Learning library for humans

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Documentation:

pytorch to caffe by onnx

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

This repo is implemented based on detectron2 and centernet

Go package for computer vision using OpenCV 4 and beyond.

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Deep Learning GPU Training System

PyTorch implementation of the YOLO (You Only Look Once) v2