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100-days-of-ml-code

100 Days of ML Coding

adapt-kcr

amazon-sagemaker-protein-classification

Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from Hugging Face library, based on BERT model trained on large corpus of protein sequences.

annotated-transformer

An annotated implementation of the Transformer paper.

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bert

TensorFlow code and pre-trained models for BERT

bert-and-ernie-images

bert-protein

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert_papers

A collection of BERT-related papers published from November 2018 to December 2019.

bert_protein

Protein sequence prediction for bert

bertviz

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

bhtsne

Barnes-Hut t-SNE

bionev

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"

biopython

Official git repository for Biopython (originally converted from CVS)

capsnet

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsnet_ptm

CapsNet for Protein Post-translational Modification site prediction.

char-rnn-tensorflow

Multi-language Char RNN for TensorFlow >= 1.2.

chinese_segment_augment

python3实现互信息和左右熵的新词发现

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crotpred

a hidden markov model for detecting crotonyllysine sites

ctrl

Conditional Transformer Language Model for Controllable Generation

d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dash-bio

Open-source bioinformatics components for Dash

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.