Moonteresa's Stars
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
facebookresearch/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
KaiyangZhou/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
open-mmlab/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
layumi/Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
moskomule/senet.pytorch
PyTorch implementation of SENet
luopeixiang/named_entity_recognition
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
iCGY96/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
yonghenglh6/DepthwiseConvolution
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
BUG1989/caffe-int8-convert-tools
Generate a quantization parameter file for ncnn framework int8 inference
msight-tech/research-ms-loss
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
XiaohangZhan/cdp
Code for our ECCV 2018 work.
SeoSangwoo/Attention-Based-BiLSTM-relation-extraction
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
csyanbin/TPN
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
PramuPerera/DeepOneClass
Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.
xiaobaicxy/text-classification-BiLSTM-Attention-pytorch
文本分类, 双向lstm + attention 算法
yamaguchiyuto/label_propagation
Implementations of label propagation like algorithms
liqimai/Efficient-SSL
Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
wjgaas/DeepID2
use caffe to training a deepid2 net with softmax and contrastive loss, adding identity2verify_layer to translate a single sample into pairwise, thus mix the softmax and contrastive layer together
nazim1021/OOD-detection-using-OECC
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
microsoft/metric-transfer.pytorch
Deep Metric Transfer for Label Propagation with Limited Annotated Data
amjadseyedi/DPC-DLP
Dynamic Graph-Based Label Propagation for Density Peaks Clustering
xiehousen/OCGAN-Pytorch
UnOfficial PyTorch Implementation of OCGAN!
pcpLiu/DeepSeqPan
A sequence-based pan model for peptide-MHC I binding affinity prediction.
clayw/Label-Propagation
Scikits.learn style implementation of common label propagation algorithms
lakehui/DeepID2_based_Inception
this network is built based on Inception. and optimize it by using identification loss and verification loss which derive from DeepID2+