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Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)
The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.
BANANO's super official Proof of Work system (BoomPoW)
A pipeline to approximate the immunogenicity of peptides resulting from cancer mutations based on structure and other factors.
Analyze Clinical Trails.Gov Data
Script to run BOINC projects on jupyter notebooks
testing RIC software compatibility with Jupyter
Characterization of a Unique Protein's overt functions with Taxonomy Enriched Automation
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Notebooks created as part of drug discovery ML research project during time as research associate at the Lewis Lab for Systems Biology and Cell Engineering
Generation and Classification of Drug Like molecule usings Neural Networks
A high throughput automated drug discovery pipeline.
Inclusive model of expression dynamics with scSLAM-seq and multiomics, vector field reconstruction and potential landscape mapping
Scripts to automate Fiji image analysis for personal use
online notebooks for a review of genome sketching
ULMFiT for Genomic Sequence Data
Generative Tensorial Reinforcement Learning (GENTRL) model
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
IVADO/ Mila's Summer Deep Learning School
This is a repo for the Machine Learning Immunogenicity Team in the August 2016 NCBI Hackathon
MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
Course content for MAIS 202 (Winter 2019) very loosely based off of Machine Learning UC Berkeley material: https://github.com/mlberkeley/Machine-Learning-Decal-Fall-2018
MONET : MOdularising NEtwork Toolbox - doi: https://doi.org/10.1101/611418
PharmaHacks 2019 Project - Reverse engineer a chemical structure with limited information
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.