hsingjun Goto Github PK

mhctools

Python interface to running command-line and web-based MHC binding predictors

ml_clinton_email_sentiment_analysis_project

mol-cycle-gan

Mol-CycleGAN - a generative model for molecular optimization

molgan

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

neoantigen-vaccine-pipeline

Bioinformatics pipeline for selecting patient-specific cancer neoantigen vaccines

nlp_naivebayes_textclassifier

Language: Python Created a naive Bayes text classifier (nblearn.py, nbclassify.py) and compared accuracy with two popular machine learning toolkits. Worked with two datasets (emails and IMDB reviews) and performed binary classification: SPAM or HAM (not spam), and POSITIVE or NEGATIVE (sentiment analysis). Compared three machine learning techniques for making these classifications: naive Bayes classification, maximum entropy modeling, and support vector machines (MegaM and SVM-Light). report.txt - contains detailed instructions about the sequence of scripts to run and what cmd arguments to pass each python script.

notebooks

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

paccmann_proteomics

PaccMann models for protein language modeling

prospr

ProSPr: Protein Structure Prediction

provis

Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

quarry

repitope

Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.

rhetoric-generator

Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation

rosettafold

This package contains deep learning models and related scripts for RoseTTAFold

scnn

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

sentimail

Visualization tool for sentiments in email

sentiment-and-email-analysis

Naive Bayes, MEGAM and SVM Machine Learning ALgorithms were used.

sidechainnet

An all-atom protein structure dataset for machine learning.

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

twitter_map

Web Application that allows users to search keywords from an AWS Elasticsearch Service powered by AWS Elastic Beanstalk. The Twitter Streaming API is used to send tweets to AWS SQS which is then handled by a worker that judges a tweet's sentiment or whether tweets are positive, negative, or neutral - this leverages IBM's Natural Language Understanding API. Once a sentiment is obtained, tweets are pushed to AWS SNS service which then are pushed to services that are interested in this topic. User may ask an HTTP/HTTPS, email, or SMS endpoint to subscribe to this AWS SNS topic. In this case, AWS Elasticsearch is the endpoint that is subscribed to the SNS topic. A web interface is provided to view tweets or filter them. Viewers may read the tweet and its corresponding sentiment by hovering over them on Google Map.

vae

a simple vae and cvae from keras

vaxrank

Ranked vaccine peptides for personalized cancer immunotherapy

watson

weibo-analyst

This is a Weibo comments processing toolbox; 这是一个微博评论分析工具，实现功能主要有：1.微博评论数据爬取；2.分词与关键词提取；3.词云与词频统计；4.情感分析；5.主题聚类

yolo_tensorflow

tensorflow implementation of 'YOLO : Real-Time Object Detection'