A small library of 3D related utilities used in my research.
pip install git+https://github.com/Steve-Tod/utils3d --upgrade
git clone [email protected]:Steve-Tod/utils3d.git
cd utils3d
pip install -e .
Install pre-commit to automatically format the code when commit.
pip install pre-commit
pre-commit install
Instance-Aware Latent-Space Search This is a PyTorch implementation of the following paper: Disentangled Face Attribute Editing via Instance-Aware Lat
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters This repository is the implementation of the paper "K-Adapter: Infusing Knowledge
DiracNets v2 update (January 2018): The code was updated for DiracNets-v2 in which we removed NCReLU by adding per-channel a and b multipliers without
Face Detection & Age Gender & Expression & Recognition
decentralized-gnn A package for implementing and simulating decentralized Graph Neural Network algorithms for classification of peer-to-peer nodes. De
This repository is the official PyTorch implementation of Meta-Balance. Find the paper on arxiv MetaBalance: High-Performance Neural Networks for Clas
PAMA This is the Pytorch implementation of Progressive Attentional Manifold Alignment. Requirements python 3.6 pytorch 1.2.0+ PIL, numpy, matplotlib C
Аналитика доходности инвестиционного портфеля Тиньков Видео на YouTube Для работы скрипта нужно установить три переменных окружения: export TINKOFF_TO
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data By Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, W
Awesome-of-Neural-Rendering A curated list of neural rendering and related resources. Please feel free to pull requests or open an issue to add papers
DiffAI v3 DiffAI is a system for training neural networks to be provably robust and for proving that they are robust. The system was developed for the
Self-Supervised Document Similarity Ranking (SDR) via Contextualized Language Models and Hierarchical Inference This repo is the implementation for SD
flownet2-pytorch Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. Multiple GPU training is supported, a
Efficient Multi-Organ Segmentation Using SpatialConfiguartion-Net with Low GPU Memory Requirements Our implementation used for the MICCAI 2021 FLARE C
D3D Devkit for 3D: Some utils for 3D object detection and tracking based on Numpy and Pytorch Please consider siting my work if you find this library
Dimensionality Reduction + Clustering + Unsupervised Score Metrics Introduction
Tesla Light Show xLights Guide Welcome to the Tesla Light Show xLights guide! You can create and run your own light shows on Tesla vehicles. Running a
2D-TAN (Optimized) Introduction This is an optimized re-implementation repository for AAAI'2020 paper: Learning 2D Temporal Localization Networks for
pytorch-3dunet PyTorch implementation 3D U-Net and its variants: Standard 3D U-Net based on 3D U-Net: Learning Dense Volumetric Segmentation from Spar
BitPack is a practical tool that can efficiently save quantized neural network models with mixed bitwidth.
67 Dec 21, 2022
118 Dec 13, 2022
585 Oct 12, 2022
188 Dec 28, 2022
5 Nov 07, 2022
20 Oct 18, 2021
98 Nov 15, 2022
64 Dec 17, 2022
141 Apr 16, 2021
43 Dec 09, 2022
202 Dec 13, 2022
2.8k Dec 27, 2022
3 Sep 27, 2022
27 Jul 07, 2022
11 Nov 15, 2022
2.5k Dec 29, 2022
112 Dec 31, 2022
1.3k Dec 28, 2022
36 Dec 02, 2022