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168 search results found

Probabilistic Response mOdel Fitting with Interactive Tools

🍀 Official pytorch implementation of "D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation. Wu et al. ECCV 2022."

Amons-based quantum machine learning for quantum chemistry

Go Active Learning ⭐ 14

go-active-learning is a command line annotation tool for binary classification problem written in Go.

Activelearningbotv3 ⭐ 14

Chatbot utilizando o conceito de Active Learning com o Bot Framework v3 e o LUIS (Microsoft Cognitive Services)

Dbalwithimgdata ⭐ 14

Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)

Honegumi ⭐ 13

Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.

Protein Uq ⭐ 13

Benchmarking uncertainty quantification methods on proteins.

Active Learning ⭐ 13

Active Learning using Multi Label Image Dataset

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach

Optical Flow Active Learning Release ⭐ 13

The official PyTorch implementation of the paper "Optical Flow Training under Limited Label Budget via Active Learning" (ECCV 2022)

Active Learning For Object Detection ⭐ 12

Active learning for deep object detection using YOLO

Pytorch_ssd_active_learning ⭐ 12

Code for undergraduate thesis "Active Learning for Deep Object Detection".

Entitytargetedactivelearning ⭐ 12

O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.

Asm Pytorch ⭐ 12

Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria

HiCAL is a system for efficient high-recall retrieval with an adaptable assessing interface.

Submodular Subset Selection for Active Domain Adaptation (ICCV 2021)

[ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation

Move2hear Active Av Separation ⭐ 11

Code and datasets for 'Move2Hear: Active Audio-Visual Source Separation' (ICCV 2021)

Code for A-LINK and A2-LINK

Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".

An opensource TAR framework for experiments and applications

Local Context-Aware Active Domain Adaptation (ICCV 2023)

🔎 📄 SpExtor: Sparse Entity Extractor

Git Physical ⭐ 10

A series of workshops to help non-technical audiences learn git in a creative way.

Waffle_utils ⭐ 10

🧇Waffle Utils🧇 is a set of utilities for waffle components

Active Learning Papers ⭐ 10

A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.

Active Learning Elo Letor ⭐ 9

Active Learning for Learning to Rank (LETOR)

Focusing on potential named entities during active label acquisition.

Physics_world_rl ⭐ 8

Implementation of CogSci 2019 paper 'Active physical learning via reinforcement learning'

Knime Activelearning ⭐ 8

KNIME Active Learning (Labs)

EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

ALBench Leaderboard for active learning in object detection

Changedetectionproject ⭐ 8

Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data.

Spotify Music Discovery ⭐ 8

🎧 create your own spotify recommendation algorithm

A no-programming Machine Learning platform for Material Design

Pac_learn_rtas ⭐ 7

🔧 A prototype tool on learning real-time automata based on pac.

Star Framework ⭐ 7

Code for L2ID CVPRW 2021 paper Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics

Information-Theoretic Active Learning

Relabeling ⭐ 7

Code repository for the robust active label correction paper.

Analytics Vidhya Game Of Deep Learning Hackathon ⭐ 7

Contains my experiments for the Game of Deep Learning Hackathon conducted by Analytics Vidhya

Software Overview Machine Learning For Screening Text ⭐ 7

The repository aims to create an overview and comparison of software used for systematically screening large amounts of textual data using machine learning.

Qdrant Nlp ⭐ 7

BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation

PyTorch implementation of VirAAL: Virtual Adversarial Active Learning (https://arxiv.org/abs/2005.07287)

Point-to-Hyperplane Nearest Neighbor Search Beyond the Unit Hypersphere (SIGMOD 2021)

Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"

Python implementation of lstar automata learning algorithm.

Actively Reducing Redundancies In Active Learning For Sequence Tagging ⭐ 6

Active Learning for sequence tagging

A tool to collect triplet queries

In browser active learning and guided search

Dataselectionmaps ⭐ 6

Enhanced spatio-temporal electric load forecasts with less data using active deep learning

Al_surveypaper ⭐ 6

This repository has the codes that were used in our published paper "A survey on Active learning: state-of-the-art, practical challenges and research directions"

User-friendly Graphical User Interface (GUI) developed at the National Institute for Materials Science (NIMS) for performing statistical data analysis, machine learning (ML) modelisation, and composition/process optimisation through active learning assisted by Bayesian optimisation

Ecg_activelearning ⭐ 5

Dataset and code for "Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning"

Context Active Learning ⭐ 5

Non-Uniform Subset Selection for Active Learning in Structured Data

Ea Active Learning ⭐ 5

Code for paper "Active Learning for Entity Alignment" (https://arxiv.org/abs/2001.08943)

Automated Systematic Review Simulations ⭐ 5

Simulations for the https://github.com/asreview/asreview

Visionchain ⭐ 5

Framework to support stitching together multiple models to create effective Computer Vision systems, as accurate or fast as you need them to be.

Al Stopping Conditions ⭐ 5

Code for "Hitting the Target: Stopping Active Learning at the Cost-Based Optimum"

Code4brownies ⭐ 5

Code4Brownies is an active learning tool for teaching programming & algorithms

Semi Super ⭐ 5

Semi/Self-Supervised Learning on a Pediatric Pneumonia Dataset

Spheroid Tnf V2 Emews ⭐ 5

A framework for the parallel model exploration and evaluation of tumor cell growth simulations.

Active Learning ⭐ 5

This repository contains the code for the paper "Local policy search with Bayesian optimization".

[NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-Aware Active Self-Training for Active Fine-Tuning of Pretrained Language Models'.

101-168 of 168 search results

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