Name: Gyeongho Kim (Jim Kim)
Type: User
Company: Ulsan National Institute of Science and Technology
Bio: Ph.D. Candidate, Industrial Engineering, UNIST
Location: Ulsan, South Korea
Blog: https://scholar.google.co.kr/citations?user=XMe4XTkAAAAJ&hl=en&oi=ao
Gyeongho Kim (Jim Kim)'s Projects
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Data augmentation using synthetic data for time series classification with deep residual networks
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A curated list of awesome self-supervised methods
π An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
An implementation of the BADGE batch active learning algorithm.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Lightweight, useful implementation of conformal prediction on real data.
Implementation of Convolutional LSTM in PyTorch.
Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
PyTorch package for the discrete VAE used for DALLΒ·E.
Repository for the Deep One-Class Classification ICML 2018 paper
A PyTorch implementation of the Deep SVDD anomaly detection method
Deep Clustering for Unsupervised Learning of Visual Features
Official DeiT repository
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
Deep Learning for Time Series Classification
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Early stopping for PyTorch
A simple probabilistic programming language.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.
Binary and Categorical Focal loss implementation in Keras.
A PyTorch Implementation of Focal Loss.