jungel2star

AAAI-19-Oral-Presentation

AAAI-19 Oral Presentation

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Bayesian-Uncertainty-Matching-for-UDA

Exploiting-Local-Feature-Patterns-for-UDA

hyperbolics

Hyperbolic Embeddings

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Unsupervised-Representation-Learning-with-Long-Term-Dynamics-for-Skeleton-Based-Action-Recognition

AAAI-2018

jungel2star/AminoBERT-PyTorch

PyTorch checkpoint of AminoBERT in RGN-2 by transferring weight from original TensorFlow checkpoint.

jungel2star/Awesome-Hyperbolic-Learning

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

jungel2star/Awesome-Hyperbolic-NeuralNetworks

Papers and Codes for the deep learning in hyperbolic space

jungel2star/Awesome-Hypergraph-Network

A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

jungel2star/Awesome-LLM-KG

Awesome papers about unifying LLMs and KGs

jungel2star/CODER

CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

jungel2star/CS6208_2023

Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

jungel2star/DeepHit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

jungel2star/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

jungel2star/doc2hpo

jungel2star/embedded-topic-model

A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM

jungel2star/ETM

Topic Modeling in Embedding Spaces

jungel2star/Exomiser

A Tool to Annotate and Prioritize Exome Variants

jungel2star/geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

jungel2star/hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

jungel2star/Hypergraph-Tutorial

jungel2star/HypergraphSynergy

jungel2star/LATTE

LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records

jungel2star/LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

jungel2star/M2REMAP

jungel2star/ml-genomics-resources

Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)

jungel2star/mlho

Machine Learns Health Outcomes (MLHO)

jungel2star/Orphadata_aggregated

Provided files are a partial extraction of the Orphanet knowledge base on Rare Diseases

jungel2star/pascPhen

Analysis of Post-Acute Sequelae of SARS-CoV-2 infection (PASC) rule-based phenotypes

jungel2star/PlotNeuralNet

Latex code for making neural networks diagrams

jungel2star/poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

jungel2star/pytorch_geometric

Graph Neural Network Library for PyTorch

jungel2star/representation-causal-public

jungel2star/rgn2

jungel2star/tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.