Stars
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.
⏰ AI conference deadline countdowns
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Python package for Korean natural language processing.
code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"
Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".
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
[AI Robotics Summer School 2016] From local features to deep learning
A torch-nn to caffe converter for specific layers.
[RA-L with ICRA2023] TransDSSL: Transformer based Depth Estimation via Self-Supervised Learning
한이음 ICT 멘토링 - 자연어처리(NLP)와 머신러닝을 이용한 리뷰 데이터 분석 및 사용자 경험 분석