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autoregressive-models

Tensorflow 2.0 implementation of Deep Autoregressive Models

cnet

A Torch implementation of attribute compression module from CNeT paper (T-CSVT)

darknet

Convolutional Neural Networks

fire_detection

floodlight

Dynamic Adaptive Streaming over HTTP (DASH) based SDN

graphics-snippets

Shading techniques and GLSL snippets

hed

code for Holistically-Nested Edge Detection

hybridvideocodec

lane-detector

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

learn-opengl-in-python

All the source codes from my youtube tutorial series called "OpenGL in python".

mnet

A Torch implementation of the scalable point cloud attribute compression method MNeT (ICASSP 2023)

mpeg-pcc-tmc13

Geometry based point cloud compression (G-PCC) test model

mpeg-pcc-tmc2

Video codec based point cloud compression (V-PCC) test model

msvoxeldnn

Pytorch implementation of the paper "Multiscale deep context modeling for lossless pointcloud geometry compression"

pyopengl-tutorial

A Python/PyOpenGL implementation of the first few example programs from Jason McKesson's excellent OpenGL tutorial.

reference-arithmetic-coding

Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.

rl-dash

Implementation of Reinforcement learning algortihm in HTTP Adaptive Streaming (HAS) over NS3

voxeldnn

Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"

voxeldnn_v2

Tensorflow implementation of the paper "Lossless Coding of Point Cloud Geometry using aDeep Generative Model"

weafre.github.io

my blog

yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2