392 Open source projects that are alternatives of or similar to X2paddle

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

Add-on package for ONNX format support in Chainer

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

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

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]

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.

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

This repo is implemented based on detectron2 and centernet

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

arcface and retinaface model convert mxnet to onnx.

pytorch to caffe by onnx

php wrapper for opencv

Setup and customize deep learning environment in seconds.

yolov5 onnx caffe

pytorch to caffe by onnx

Real-time visual object tracking using correlations filters and deep learning

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Faster R-CNN for pedestrian detection

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

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

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

Run PyTorch models in the browser using ONNX.js

faster-rcnn_VS2013with C++

Class Activation Mapping with Caffe using the Python wrapper pycaffe instead of matlab.

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

Collection of deep learning demos based on neworks from the Caffe Zoo

Convert tf.keras/Keras models to ONNX

Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets

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

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

qihoo360 xlearning with GPU support; AI on Hadoop

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

caffe-yolo-9000

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

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

Counting people, dog and bicycle using SSD detection and tracking.

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

Exposes a serialized machine learning model through a HTTP API.

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

☕️ Fast-RCNN and Scene Recognition using Caffe

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.

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.

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型

Open Source Compiler Framework using ONNX as Frontend and IR

Chainer implementation of waifu2x

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

关注AI模型上线、模型部署

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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

Deep learning tutorial

This repository contains a docker image that I use to develop my artificial intelligence applications in an uncomplicated fashion. Python, TensorFlow, PyTorch, ONNX, Keras, OpenCV, TensorRT, Numpy, Jupyter notebook... 🐋🔥

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

Caffe Implementation of MobileNets V3

This fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

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