Damax's repositories
awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
jupyter_tensorboard
Start Tensorboard in Jupyter Notebook
LAB
[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm
PyTorch-Encoding
A PyTorch Extension Toolbox
SENet
Squeeze-and-Excitation Networks
generative_inpainting
Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo: http://jhyu.me/demo
2016_person_re-ID
TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
CFCF
Good Features to Correlate for Visual Tracking
DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Detect-Track
Code release for "Detect to Track and Track to Detect", ICCV 2017
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
UNIT
unsupervised/unpaired image-to-image translation using coupled GANs
TBCF
Tracking Benchmark for Correlation Filters
Deformable-ConvNets
Deformable Convolutional Networks
ACFN
Attentional Correlation Filter Network for Adaptive Visual Tracking
TuSimple-DUC
Understanding Convolution for Semantic Segmentation
siamese-fc
State-of-the-art performance in arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
UFLDL_Exercise
The UFLDL_Exercise code (Matlab)
walkback_nips17
Variational Walkback, NIPS'17
DPNs
Dual Path Networks
CREST-Release
CREST: Convolutional Residual Learning for Visual Tracking
caffe_toolkit
Caffe toolkit, including installing Caffe, creating various networks.
deep-goggle
Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015
ADNet
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
ECO
Matlab implementation of the ECO tracker.
visualize_matconvnet
A simple code to visualize net for matconvnet.