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simcse

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

smiles-transformer

Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

smiles_data

실습을 위한 Smiles 데이터

solving_problems_study-python

[2022.06~] 파이썬 코딩테스트 대비용 스터디

sr-gnn

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

sr-gnn_pytorch-geometric

A reimplementation of SRGNN.

sse-pt

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

st-gcn-pytorch

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

st-mgcn

[AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)

st-resnet-pytorch

Code snippets of ST-ResNet by PyTorch

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

stat-eklee

stat-eklee.github.io

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stdn

Code for our Spatiotemporal Dynamic Network

stg2seq

Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

stresnet

A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081

summarize-from-feedback

Code for "Learning to summarize from human feedback"

surface-crack-detection

An experiment with deep learning to segmentation

swin-transformer-pytorch

Implementation of the Swin Transformer in PyTorch.

swin-transformer-semantic-segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

t-few

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

t-zero

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

tabnet-review-pytorch

정형데이터 딥러닝 모델 Tabnet(https://arxiv.org/abs/1908.07442) 논문을 집중적으로 리뷰하고 해당 코드를 작성하는 repository입니다.

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

tessdata

Trained models with support for legacy and LSTM OCR engine

text

Models, data loaders and abstractions for language processing, powered by PyTorch

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"