seongjunyun's starred repositories
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.
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.
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
pytorch_memlab
Profiling and inspecting memory in pytorch
Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
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.)
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