lijiaoyang's Stars
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
minar09/VGG16-PyTorch
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
dragonlzm/ISAL
This project hosts the code for implementing the ISAL algorithm for object detection and image classification
HanxunH/Active-Passive-Losses
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
sinhasam/vaal
Variational Adversarial Active Learning (ICCV 2019)
whimian/SVM-Image-Classification
Image Classification with `sklearn.svm`
JDGalileo/galileo
Galileo library for large scale graph training by JD
perklet/reverse-interview-zh
技术面试最后反问面试官的话
acl21/deep-active-learning-pytorch
A PyTorch toolkit with 8 popular deep active learning query methods implemented.
decile-team/distil
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
webis-de/small-text
Active Learning for Text Classification in Python
davidtw999/BEMPS
NeurIPS 2021
ej0cl6/deep-active-learning
Deep Active Learning
THUDM/P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
asiddhant/Active-NLP
Bayesian Deep Active Learning for Natural Language Processing Tasks
IBM/low-resource-text-classification-framework
Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.
mttr2021/MTTR
SupeRuier/awesome-active-learning
Everything you need about Active Learning (AL).
mourga/contrastive-active-learning
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"
drimpossible/Sampling-Bias-Active-Learning
Code for the paper "Sampling Bias in Deep Active Classification: An Empirical Study"
baifanxxx/awesome-active-learning
A curated list of awesome Active Learning
timoschick/pet
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
RunxinXu/ChildTuning
Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
ntucllab/libact
Pool-based active learning in Python
NUAA-AL/ALiPy
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
google/active-learning
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
920232796/bert_seq2seq
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。