alexsibir

ObjectDetection-OneStageDet

单阶段通用目标检测器

SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

DS-SLAM

Deep-Learning-in-Production

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

pytorch-segmentation

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

depth-estimation

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

libtorch-yolov3

A Libtorch implementation of the YOLO v3 object detection algorithm

KCFcpp

C++ Implementation of KCF Tracker

RCMSA

The Random Cluster Model for Robust Geometric Fitting

ResNet_LibTorch

A small example of using new PyTorch C++ frontend to implement ResNet

sparse-to-dense.pytorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

pytorch-cpp-inference

Serving PyTorch 1.0 Models as a Web Server in C++

Deep-Learning-with-PyTorch

Deep Learning with PyTorch, published by Packt

sunnet

tiny neural net

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

GeoNet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

slslam

Building a 3D Line-based Map Using a Stereo SLAM

SfMLearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

GSLAM

Source Code for the 3dv2017 paper GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion

Keras-GAN

Keras implementations of Generative Adversarial Networks.

tensornets

High level network definitions with pre-trained weights in TensorFlow

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

dnn_tensorflow_cpp

This project is a simple deep neural network trained using only TensorFlow C++.

tfplusplus

tensorflow in C++

L0-gradient-smoothing

A C++ implementation of "Image Smoothing via L0 Gradient Minimization"

EDXNet

A deep learning library with static computational graph and auto-diff in C++.