seongjunyun

transformers

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

PlotNeuralNet

Latex code for making neural networks diagrams

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

ML-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

HAN

Heterogeneous Graph Neural Network

pytorch_memlab

Profiling and inspecting memory in pytorch

Graph_Transformer_Networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

OpenHGNN

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

NonAutoregGenProgress

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

HNE

Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond

fine-tuning.pytorch

Pytorch implementation of fine tuning pretrained imagenet weights

Awesome-Graph-Research-ICML2024

All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.

gradcam.pytorch

Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

graph-tutorial.pytorch

Pytorch Tutorial for Non-Euclidean Graph Representations

wide-residual-network

Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges

ParagraphRanker

EMNLP'2018: Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering

RecSys2018

MIPT_MSU team RecSys Challenge 2018 solution

computer-vision-AAA534

Computer Vision (AAA534) at Korea University

pytorch_indexing