ksboy's Stars
openai/openai-cookbook
Examples and guides for using the OpenAI API
peng-zhihui/ElectronBot
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
ccfddl/ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
km1994/nlp_paper_study
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
dk-liang/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Doragd/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
PaddlePaddle/Research
novel deep learning research works with PaddlePaddle
tensorflow/addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
graph4ai/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
NVIDIA-Merlin/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
MLNLP-World/Paper-Picture-Writing-Code
MLNLP: Paper Picture Writing Code
PyGCL/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
styfeng/DataAug4NLP
Collection of papers and resources for data augmentation for NLP.
FeiSun/BERT4Rec
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
yym6472/ConSERT
Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
songhwanjun/Awesome-Noisy-Labels
A Survey
nancheng58/Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
microsoft/fastseq
An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf
Tencent/embedx
embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等
lonePatient/NeZha_Chinese_PyTorch
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
graph4ai/graph4nlp_literature
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
leerumor/contrastive_learning_codes
A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam
wangz10/contrastive_loss
Experiments with supervised contrastive learning methods with different loss functions
TsinghuaAI/CPM-2-Pretrain
Code for CPM-2 Pre-Train
bhanML/label-noise-papers
An update-to-date list for papers related with label-noise representation learning is here.
sz128/few_shot_slot_tagging_and_NER
PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.