Seokjoongg

liquidSVM

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

paper-review

deep learning paper review about model, system, hw architecture

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

inter-operator-scheduler

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

ai-notebooks

Some ipython notebooks implementing AI algorithms

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

minimal-BERT

Bidirectional Encoder Representations from Transformers

HRankPlus

An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map

Korea-Startups

🌟 국내 스타트업 목록 및 설명 🌟

commit-autosuggestions

A tool that AI automatically recommends commit messages.

torch2trt

An easy to use PyTorch to TensorRT converter

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

vimrc

The ultimate Vim configuration (vimrc)

season1

Jiphyeonjeon Season 1

coq

Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.

gradient-checkpointing

Make huge neural nets fit in memory

big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

vision_transformer

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

LambdaNetworks

Implementing Lambda Networks using Pytorch

model-tools

Tools for computing model parameters and FLOPs.

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

HRank

Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

Pruning-Filter-in-Filter

Pruning Filter in Filter(NeurIPS2020)

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

awesome-sushi

🍣 국내 스시 오마카세 맛집 리스트