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3d-machine-learning

A resource repository for 3D machine learning

aptminer

dig dig dig

auto-colorize

Attempt at Machine Learning Project to automatically add color to gray-scale images

autocrawler

Google, Naver multiprocess image web crawler (Selenium)

awesome-clip

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome_3dreconstruction_list

A curated list of papers & ressources linked to 3D reconstruction from images.

c_project

cifar-vgg

VGG16 models for CIFAR-10 and CIFAR-100 using Keras

curve-fitting-neural-networks

darts-tensorflow

Tensorflow code for Differentiable architecture search

deep-learning-model-convertor

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

digihuman

Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques

dl-vision

《실전! 텐서플로 2를 활용한 딥러닝 컴퓨터 비전》 예제 코드

dl_tutorials_10weeks

Deep Learning Tutorials for 10 Weeks

facekit

Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gitfth

human-pose-estimation-from-rgb

Human Pose Estimation from RGB Camera - The repo

iccv19-gluoncv

Tutorial Materials for ICCV19

imgaug

Image augmentation for machine learning experiments.

learning_tf

implementation of learning tensorflow

minimal-hand-pytorch

PyTorch reimplementation of minimal-hand (CVPR2020)

mobilenetv2

A Tensorflow implementation of MobileNet V2

models

Models and examples built with TensorFlow

muellericcv2017

Implementation of Mueller et al. 2017 (ICCV)

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.