Shun's repositories
Awesome-Long-Tailed
Papers about long-tailed tasks
business_analytics_tutorial
2022년 2학기 고려대학교 Business Analytics 수업의 Algorithm Tutorials Page
obsidian-annotator
A plugin for reading and annotating PDFs and EPUBs in obsidian.
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
DeepMTP
A python-based framework for multi-target prediction
EdgeGPT
Reverse engineered API of Microsoft's Bing Chat AI
ExcelFormer
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
google-research
Google Research
imbalanced-data
Examples of algorithms dealing with imbalanced data.
knowledge-distillation-papers
knowledge distillation papers
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
ONE-PEACE
A general representation modal across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
PyContinual
PyContinual (An Easy and Extendible Framework for Continual Learning)
pytorch-scarf
Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspired from SimCLR and uses a similar architecture and loss.
pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
rsg-1
ReverShellGenerator - A tool to generate various ways to do a reverse shell
rtdl
Research on Tabular Deep Learning (Python package & papers)
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
sydney.py
Python Client for Bing Chat, also known as Sydney.
TabTransformerTF
TensorFlow implementation of TabTransformer
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
unreasonable_effective_der
Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
zap
Zap is a fast web framework built on Dart