420 Open source projects that are alternatives of or similar to Visualdl

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]

Add-on package for ONNX format support in Chainer

arcface and retinaface model convert mxnet to onnx.

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.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

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

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

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

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

Setup and customize deep learning environment in seconds.

php wrapper for opencv

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

pytorch to caffe by onnx

yolov5 onnx caffe

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

This repo is implemented based on detectron2 and centernet

pytorch to caffe by onnx

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

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.

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, 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 Caffe architecture which users deploy their applications seamlessly.

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

全平台实时人脸检测和姿态估计，提供无需任何框架实现Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS

A collection of pre-trained, state-of-the-art models in the ONNX format

Convert Caffe models to PyTorch

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

facenet recognition and retrieve by using hnswlib and flask, convert tensorflow model to caffe

Convert tf.keras/Keras models to ONNX

Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.

A Caffe-based implementation of very deep convolution network for image super-resolution

ImageNet pre-trained models with batch normalization for the Caffe framework

PyTorch ,ONNX and TensorRT implementation of YOLOv4

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

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

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

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

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

A lightweight framework using binary hash codes and deep learning for fast image retrieval.

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

PaddlePaddle实现的目标检测模型PP-YOLO

Run PyTorch models in the browser using ONNX.js

Deep networks for Earth Observation

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

Optimised Caffe with OpenCL supporting for less powerful devices such as mobile phones

Both deep learning datasets can be imported in python directly with h5py (HDF5 format). The datasets can be directly imported or converted with a python script.

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Chainer implementation of waifu2x

Caffe for Sparse and Low-rank Deep Neural Networks

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

Rotate RoI Align and Rotate Position Sensitive RoI Align Operation in Caffe

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

UCloud AI SDK

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

Tensorflow Implementation of Yahoo's Open NSFW Model