DaHaiHuha

decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Code_Templates

LogicStack-LeetCode

公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码

ProFOLD

A protein 3D structure prediction application

deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

protein-transformer

Predicting protein structure through sequence modeling

ML-Model-CI

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

Awesome-Bioinformatics

A curated list of awesome Bioinformatics libraries and software.

rna-seq

bioinformatics pipelines

wdl

Workflow Description Language - Specification and Implementations

PLUS

Official Pytorch implementation of PLUS (Protein sequence representations Learned Using Structural information), IEEE Access 2021

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

UniRep

UniRep model, usage, and examples.

protein-sequence-embedding-iclr2019

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

tape-neurips2019

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

ERNIE

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

GPT2-Chinese

Chinese version of GPT2 training code, using BERT tokenizer.

gpt-2

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

openprotein

A PyTorch framework for prediction of tertiary protein structure

pytorch-rgn

Recurrent Geometric Network in Pytorch

rgn

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

parallel_mAP_evaluation

This repo parallelizes mAP_evaluation using python's multiprocessing module.

DMTK

Microsoft Distributed Machine Learning Toolkit