Pinned Repositories
ape210k
This is the repository of the Ape210K dataset and baseline models.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Awesome-LLM-Planning-Papers
Awesome-LLM-Planning-Papers is a list of papers investigating and exploring the planning ablility of LLMs.
BalancedMetaSoftmax-Classification
Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition" on long-tailed visual recognition datasets
CIT
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
Deep-Unsupervised-Saliency-Detection
detr
End-to-End Object Detection with Transformers
eqlv2
The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection. https://arxiv.org/abs/2012.08548 https://arxiv.org/abs/2003.05176
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
qinwei-hfut's Repositories
qinwei-hfut/Awesome-LLM-Planning-Papers
Awesome-LLM-Planning-Papers is a list of papers investigating and exploring the planning ablility of LLMs.
qinwei-hfut/CIT
qinwei-hfut/ape210k
This is the repository of the Ape210K dataset and baseline models.
qinwei-hfut/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
qinwei-hfut/BalancedMetaSoftmax-Classification
Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition" on long-tailed visual recognition datasets
qinwei-hfut/classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
qinwei-hfut/Deep-Unsupervised-Saliency-Detection
qinwei-hfut/detr
End-to-End Object Detection with Transformers
qinwei-hfut/eqlv2
The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection. https://arxiv.org/abs/2012.08548 https://arxiv.org/abs/2003.05176
qinwei-hfut/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
qinwei-hfut/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
qinwei-hfut/hms
qinwei-hfut/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
qinwei-hfut/injecting_numeracy
The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2020).
qinwei-hfut/KA-S2T
qinwei-hfut/LDAM-DRW
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
qinwei-hfut/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
qinwei-hfut/math_seq2tree
Seq2Tree model for Solving Math Word Problems
qinwei-hfut/mmdetection
OpenMMLab Detection Toolbox and Benchmark
qinwei-hfut/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
qinwei-hfut/mnm
An Empirical Investigation of Contextualized Number Prediction
qinwei-hfut/NumS2T
ACL21 Math Word Problem Solving with Explicit Numerical Values
qinwei-hfut/openai-proxy
OpenAI/ChatGPT 免翻墙代理
qinwei-hfut/RSG
A Pytorch implementation of CVPR 2021 paper "RSG: A Simple but Effective Module for Learning Imbalanced Datasets"
qinwei-hfut/Severstal-Steel-Defect-Detection
Can you detect and classify defects in steel? Segmentation in Pytorch
qinwei-hfut/SSD-Knowledge-Distillation
A PyTorch Implementation of Knowledge Distillation on SSD
qinwei-hfut/structural-probes
Codebase for testing whether hidden states of neural networks encode discrete structures.
qinwei-hfut/Surface-Defect-Detection
🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋
qinwei-hfut/the_BLCL
qinwei-hfut/transformers-arithmetic