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actionrecognition

Explore Action Recognition

affinitybasedmattingtoolbox

A collection of common affinity-based image matting and matte refinement algorithms.

bookkeeper

clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

crawlerpractice

Some small crawler practice using python

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

fibonacciheap

A Fibonacci Heap implementation

floor-sp

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path, ICCV 2019

gonotes

Some notes taken when I learn Go

heat

Code for "HEAT: Holistic Edge Attention Transformer for Structured Reconstruction", CVPR 2022

holistic-3d-resources

A list of papers and resources for holistic 3D reconstruction

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

imagenetdownloader

json_parser

An JSON parser implemented with Go

linux_config

maptracker

Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping", ECCV 2024

minisql

models

Models and examples built with TensorFlow

moderncv

A modern curriculum vitae class for LaTeX

my_shell

A mini yet useful shell

nervenet

neural-style-transfer

Implementation of fast neural style transfer with feed-forward neural network

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

pixel-cnn

Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

pixelvae

Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013

poly-diffuse

Code for "PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models", NeurIPS 2023

psketch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-mask-rcnn

pytorch-practice

Some Pytorch practice