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sailfish009's Projects

electra-pytorch icon electra-pytorch

A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch

elegantrl icon elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

elemnet icon elemnet

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

elf icon elf

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

elf-1 icon elf-1

An End-To-End, Lightweight and Flexible Platform for Game Research

elixir icon elixir

Elixir is a dynamic, functional language designed for building scalable and maintainable applications

elm-cookbook icon elm-cookbook

A collection of code snippets for the programming language Elm

elphbolt icon elphbolt

A solver for the coupled and decoupled electron and phonon Boltzmann transport equations.

elphmod icon elphmod

Python modules to handle electron-phonon models

embxx icon embxx

embxx - Embedded C++ Library

emmet icon emmet

Be a master builder of databases of material properties. Avoid the Kragle.

emogi icon emogi

An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

en-transformer icon en-transformer

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

enduro icon enduro

Minimalistic, lean & mean, node.js cms

ensemble-pytorch icon ensemble-pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

ensembler icon ensembler

Automated omics-scale protein modeling and simulation setup.

entanglement-forging icon entanglement-forging

A module for simulating chemical and physical systems using a Variational Quantum Eigensolver (VQE) enhanced by Entanglement Forging.

enumeratum icon enumeratum

A type-safe, reflection-free, powerful enumeration implementation for Scala with exhaustive pattern match warnings and helpful integrations.

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