lin guang's repositories
3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
ArmNeonOptimization
Arm neon optimization practice
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
BokehDepthOfField
Implementing Different Algorithms to mimic Bokeh Depth Of Field: A Physical Camera Effect created due to Focal Length, Aperture size, shape
Deep-Image-Matting-PyTorch
Deep Image Matting implementation in PyTorch
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
ECCV-PIRM2018
Code of the team Mt.Phoenix, champion of the PRIM2018 Perceptual Image Enhancement on Smartphones (Track B: Image Enhancement)
flask
A microframework based on Werkzeug, Jinja2 and good intentions
keras_Realtime_Multi-Person_Pose_Estimation
Keras version of Realtime Multi-Person Pose Estimation project
KerasPersonLab
Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)
MegaDepth
Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".
MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
models
Models and examples built with TensorFlow
MyData
share my data
PlayWithPython
Play with Python
python_the_hard_way_MySolver
My solution for python the hard way
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
RCF-pytorch
Richer Convolutional Features for Edge Detection model in pytorch
SimpleNES
An NES emulator in C++
soft_segmentation
Our implementation of the paper 'Unmixing-Based Soft Color Segmentation for Image Manipulation'
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs