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100 Days of ML Coding
100-Days-Of-ML-CodeδΈζη
Focused multi-day workshop covering the material needed for a successful RNA-Seq experiment.
A workshop for biologists preparing to run their first single-cell RNA Seq experiment. No prior experience in bioinformatics necessary.
Focused multi-day workshop covering the material needed for a successful RNA-Seq experiment.
A workshop for biologists preparing to run their first single cell RNA Seq experiment. Participants should have some command line and R experience to participate successfully. We recommend our introductory courses for beginners!
An introduction to the basic R programming for biologists. No data analysis experience necessary! Participants will gain skills necessary to run basic statistical analyses and generate figures in R.
A workshop for biologists preparing to run their first RNA Seq experiment. Participants should have some command line and R experience to participate successfully. We recommend our introductory courses for beginners! Single cell RNA Seq is covered in a separate course.
An introduction to R for biologists
:ab: ABC of chemoinformatics
This is a SnakeMake based workflow for ABFE calculations that can be easily scaled in a high-throughput manner via Slurm for example.
A platform for systematic ADME evaluation of drug molecules, thereby accelerating the drug discovery process.
Advanced Deep Learning with Keras, published by Packt
An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery
A tool for retrosynthetic planning
Data and code for training machine learning regression models on ALK-5 pIC50 data.
Open source code for AlphaFold.
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
An implementation of the DeepMind's AlphaFold based on PyTorch for research
A web-based platform for detecting and assessment of genetic variants from targeted Next-Generation sequencing experiments.
The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.
AMPL software tutorials
jinja2-enabled jupyter notebooks
A catalog of appyter notebooks
Online solubility prediction tool (streamlit) that runs the top-performing ML model (AqSolPred).
Fast and accurate gene fusion detection from RNA-Seq data
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! π)
atoti issue tracking
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.