688spiderbin

Raindrop

Graph Neural Networks for Irregular Time Series

mamba

Mamba SSM architecture

pykan

Kolmogorov Arnold Networks

torchquantum

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

chemprop

Message Passing Neural Networks for Molecule Property Prediction

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

GS-Meta

Code and Data for the paper: Graph Sampling-based Meta-Learning for Molecular Property Prediction [IJCAI2023]

PAR-NeurIPS21

Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".

ADKF-IFT

Official PyTorch Implementation of ADKF-IFT from Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction (ICLR 2023)

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

Time-Series-Library

A Library for Advanced Deep Time Series Models.

GCN-HGT

Prediction of horizontal gene transfer (HGT) using graph convolutional network

fastText

Library for fast text representation and classification.

DNABERT

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

GloVe

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

NLP-Tutorials

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

bert-enhancer

A Transformer Architecture Based on BERT and 2D Convolutional Neural Network to Identify DNA Enhancers from Sequence Information

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

bert

TensorFlow code and pre-trained models for BERT

CS249ExplainGNN

gnn-explainability-examples

GNNExplainer-Tutorial

torchinfo

View model summaries in PyTorch!

VisualDL

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

NeuroX

A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

lime

Lime: Explaining the predictions of any machine learning classifier

Aspect-Based-Sentiment-Analysis

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)