Dante1995Wang
Follow
Stars
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
code for paper [ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot] (ICCV 2021, oral))
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Implementation of ordinal losses for neural networks.
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluati…
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
A PyTorch Library for Multi-Task Learning
PyTorch implementation for "Few-Shot Learning with Class Imbalance"
An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
MAML Implementation using Pytorch-lightning
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍
CORAL and CORN implementations for ordinal regression with deep neural networks.
Refined and extended version of ChemTS
Few-shot machine learning for low-data drug discovery.
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Code and Data for the paper: Graph Sampling-based Meta-Learning for Molecular Property Prediction [IJCAI2023]
Few-Shot Graph Learning for Molecular Property Prediction
An index of algorithms for few-shot learning/meta-learning on graphs
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Meta-Transformer for Unified Multimodal Learning
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
One-shot Learning with Memory-Augmented Neural Networks
pytorch implementation of Optimization as a Model for Few-shot Learning
Ordinal Regression tutorial for the International Summer School on Deep Learning 2019