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Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers
Code for Active Mixup in 2020 CVPR
Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
[NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Language Models'.
Adversarial Representation Active Learning
allRank is a framework for training learning-to-rank neural models based on PyTorch.
A curated list of awesome Active Learning
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
Awesome Knowledge Distillation
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
An implementation of the BADGE batch active learning algorithm.
Bandit algorithms simulations for online learning
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Cross-model active contrastive coding
Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"
A list of contrastive Learning papers
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)
Dagger - An implementation of Dataset Aggregation
Data for "Datamodels: Predicting Predictions with Training Data"
for Data Science class on Coursera
Deep Active Learning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.