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dot23/Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

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dot23/cogdl

CogDL: An Extensive Research Toolkit for Graphs

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dot23/sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

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dot23/CGRtools

CGRs, molecules and reactions manipulation

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dot23/yield-rxn

Code for the paper: Graph Neural Networks for Predicting Chemical Reaction Performance

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dot23/ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

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dot23/OpenNMT-py-ggnn-example

Training, validation, and test files for GGNN encoder option in OpenNMT-py.

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dot23/subword-nmt

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

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dot23/OpenNMT-py

Open Source Neural Machine Translation in PyTorch

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dot23/grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

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dot23/bert-nmt

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dot23/NPS-generation

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dot23/apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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dot23/DeepReac

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dot23/paragraph2actions

Extraction of action sequences from experimental procedures

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dot23/ChemRxnExtractor

Toolkit for Chemical Reaction Extraction from Scientific Literature (JCIM 2021)

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dot23/chemie-turk

Mechanical Turk on your own machine for chemical literature annotation

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dot23/molpal

active learning for accelerated high-throughput virtual screening

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dot23/AutoDock-Vina

AutoDock Vina

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dot23/masif

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.