Pinned Repositories
2014-SISC-BregmanOT
J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Journal on Scientific Computing, 37(2), pp. A1111–A1138, 2015.
2015-SIGGRAPH-convolutional-ot
J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015
3D-Object-Super-Resolution
Repository for code to reproduce the paper 3D Object Super Resolution
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
BasReliefModeling
DNGR
Python implementation of DNGR model (Deep Neural Networks for Graph Representations)
gpytorchopt
Work in progress repo for Bayesian Optimization using GPyTorch
libigl
Simple C++ geometry processing library.
Tank_1990
A game based on wxWidgets
ai3DVision's Repositories
ai3DVision/awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
ai3DVision/3DCSGNet
CSGNet for voxel based input
ai3DVision/acmart
ACM consolidated LaTeX styles
ai3DVision/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
ai3DVision/awesome-object-pose
This repository is a curated list of papers and open source code for 6D Object Pose Estimation.
ai3DVision/Awesome-Segmentations
Lots of semantic image segmentation implements with Tensorflow/Keras
ai3DVision/awesome-self-supervised-learning
A curated list of awesome Self-Supervised methods
ai3DVision/awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
ai3DVision/awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
ai3DVision/conditional-neural-process
ai3DVision/DeepRL
Highly modularized implementation of popular deep RL algorithms in PyTorch
ai3DVision/fuel
A data pipeline framework for machine learning
ai3DVision/GANs
a brief survey and implementations of generative adversarial nets(in progress)
ai3DVision/GNNPapers
Must-read papers on graph neural networks (GNN)
ai3DVision/Graph2Seq
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
ai3DVision/iclr_2019
ICLR Reproducibility Challenge 2019
ai3DVision/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
ai3DVision/LiteratureDL4Graph
ai3DVision/mlpack
mlpack: a scalable C++ machine learning library --
ai3DVision/ORB_SLAM
A Versatile and Accurate Monocular SLAM
ai3DVision/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
ai3DVision/PreciseRoIPooling
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
ai3DVision/pwc
Papers with code. Sorted by stars. Updated weekly.
ai3DVision/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
ai3DVision/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
ai3DVision/srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
ai3DVision/stanford-shapenet-renderer
Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.
ai3DVision/tikz-network
A tool to visualize complex networks in LaTeX
ai3DVision/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
ai3DVision/vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.