cd pytorch_active_learning Running Chapter 2, Getting Started with Human-in-the-Loop Machine Learning python active_learning_basics.py When you run the software, you will be prompted to classify news headlines as being disaster-related or not. The prompt will also tell you give you the option...
This repository is the official PyTorch implementation ofActive Learning for Deep Object Detection via Probabilistic Modeling, ICCV 2021. The proposed method is implemented based on theSSD pytorch. Our approach relies on mixture density networks to estimate, in a single forward pass of a single model...
Install pytorch fromhttps://pytorch.org/according to your system configuration. The code is tested on pytorch v1.2.0. If you are using conda: conda install pytorch==1.2.0 torchvision cudatoolkit=10.0 -c pytorch #(Linux with GPU) conda install pytorch==1.2.0 torchvision==0.4.0 -c pytorch ...
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022) - Official Pytorch Implementation Update Note We solved all problems. The issue is that the epoch of the rotation prediction task was supposed to run only 15 epochs, but it was written incorrectly as 120 epochs. Sorry ...
PyTorch implementation of Semi-Supervised Active Learning with Temporal Output Discrepancy, ICCV 2021. Introduction We present a loss measurement Temporal Output Discrepancy (TOD) that estimates the loss of unlabeled samples by evaluating the distance of model outputs at different SGD steps. We theoretica...
BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation - GitHub - MLDL/BAL: BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation
VL4Pose:https://github.com/meghshukla/ActiveLearningForHumanPose If you'd like to contribute, you can open an issue on this repository. All contributions are welcome! All content in this repository is licensed under the MIT license.
Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision" - chanocy/al-fk-self-supervision
An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al. - lc82111/Active-Contour-Loss-pytorch
Data Lake for Deep Learning. Multi-modal Vector Database for LLMs/LangChain. Store, query, version, & visualize datasets. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai - asif-nuaa/deeplake