To run this software, follow the steps:
git clone https://github.com/Autonomous-Car-Project/Data-Annotation-Tool.git
cd Data-Annotation-Tool
python setup.py install
python anntool/main.py
Data Annotation Tool by TiVRA AI is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Based on a work at https://github.com/Autonomous-Car-Project/Data-Annotation-Tool.
mpl-image-labeller Use Matplotlib to label images for classification. Works anywhere Matplotlib does - from the notebook to a standalone gui! For more
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod
Legged Robots that Keep on Learning Official codebase for Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World, whic
Awesome Human Motion πββοΈ A curated list about human motion capture, analysis and synthesis. Contents Introduction Human Models Datasets Data Process
SimSwap: An Efficient Framework For High Fidelity Face Swapping Proceedings of the 28th ACM International Conference on Multimedia The official reposi
Transformer-in-Transformer An Implementation of the Transformer in Transformer paper by Han et al. for image classification, attention inside local pa
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing Paper Introduction Multi-task indoor scene understanding is widely considered a
3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks Introduction This repository contains the code and models for the follo
s3sec Test AWS S3 buckets for read/write/delete access This tool was developed to quickly test a list of s3 buckets for public read, write and delete
NeRF-pytorch NeRF (Neural Radiance Fields) is a method that achieves state-of-the-art results for synthesizing novel views of complex scenes. Here are
When Does Self-Supervision Help Graph Convolutional Networks? PyTorch implementation for When Does Self-Supervision Help Graph Convolutional Networks?
Ranking Models in Unlabeled New Environments Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch 1.7.0 + torchivision 0.8.1
Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, L
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation by Lukas Hoyer, Dengxin Dai, and Luc Van Gool [Arxiv] [Paper] Overview Unsup
Ponder(ing) Transformer Implementation of a Transformer that learns to adapt the number of computational steps it takes depending on the difficulty of
Banglore House Prediction Using Flask Server (Python) π Links π π Repo In this repository, I've implemented a Machine Learning-based Bangalore Hous
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction (CVPRW 2022) Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Z
Pretraining on Dynamic Graph Neural Networks Our article is PT-DGNN and the code is modified based on GPT-GNN Requirements python 3.6 Ubuntu 18.04.5 L
OpenAI's CLIP β REST API This is a container wrapping OpenAI's CLIP model in a RESTful interface. Running the container locally First, build the conta
Photo-Realistic-Super-Resoluton Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" [Paper]
5 Sep 24, 2022
20.5k Jan 08, 2023
70 Dec 07, 2022
274 Dec 14, 2022
2.6k Jan 08, 2023
40 Jul 25, 2022
62 Dec 05, 2022
124 Jan 06, 2023
123 Jan 05, 2023
3.2k Jan 08, 2023
106 Nov 11, 2022
14 Dec 17, 2021
3 Dec 02, 2022
149 Dec 28, 2022
65 Oct 04, 2022
1 Jan 24, 2022
274 Jan 05, 2023
7 Dec 17, 2022
48 Nov 06, 2022
199 Dec 01, 2022