2933 Open source projects that are alternatives of or similar to Dlcv_for_beginners

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

OpenMMLab Model Compression Toolbox and Benchmark.

The code for preparing the training data for crowd counting / segmentation algorithm.

Tensorflow implementation : U-net and FCN with global convolution

Papers and Datasets about Point Cloud.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Awesome GAN for Medical Imaging

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

face detection and alignment with mtcnn

Sandbox for training deep learning networks

Collections of model quantization algorithms

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A Python toolbox for computer vision research and project

Resurces for MRI images processing and deep learning in 3D

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

All-in-one Toolbox for Computer Vision Research.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

🤖 A portable, header-only, artificial neural network library written in C99

Gluon CV Toolkit

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Examples use case of PHP-ML library.

Statistical Machine Intelligence & Learning Engine

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

mlr3: Machine Learning in R - next generation

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

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

R package to interface with OpenML

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Code for Tensorflow Machine Learning Cookbook

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Setup and customize deep learning environment in seconds.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

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

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Tribuo - A Java machine learning library

Image Test Time Augmentation with PyTorch!

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.

An example project for book 'Go Programming & Concurrency in Practice, 2nd edition' (《Go并发编程实战》第2版).

Trainable models and NN optimization tools

convert model from mxnet to caffe without lossing precision

MLBox is a powerful Automated Machine Learning python library.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Yet another neural network library

Evaluation framework for testing segmentation networks in Keras

A Julia machine learning framework

A collection of tools for chemometrics and machine learning written in Julia.

PHP-ML - Machine Learning library for PHP

Generalized Data-free Universal Adversarial Perturbations

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

An Interactive Approach to Understanding Deep Learning with Keras

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle