A complete computer science study plan to become a software engineer.

Models and examples built with TensorFlow

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

The Udacity open source self-driving car project

⏰ AI conference deadline countdowns

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

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Python package for Korean natural language processing.

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

Generative Adversarial Networks (GANs) resources sorted by citations

Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".

Benchmark and resources for single super-resolution algorithms

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

Reading list for research topics in embodied vision

⏬ Utils to help download images by id, crop bounding box, label images, etc.

Comparison of famous convolutional neural network models

Code Release for LF-Net: Learning Local Features from Images

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Code release for "learning to find good correspondences" CVPR 2018

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'

Wrapper of DELF Tensorflow Model

Lecture slides for study about "Deep Learning" written by Ian Goodfellow, Yoshua Bengio and Aaron Courville

[RA-L with IROS2021] Multi-Label Pedestrian Detection in Multispectral data

Implementation of my PhD thesis, see http://d-nb.info/1034865692/34

Edge Guided Single Depth Image Super-resolution

A ros driver for flir ax5 gige thermal camera

DeepBio