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A hierarchical LM that scales to training on context windows of +5M tokens
Auto clean-up Sonarr episodes
This repository provides chemsense, a package developed for chemical sensor array data processing. chemsense leverages visual encoding of sensor data and pre-trained vision models to extract vector…
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
Pure bash script to test and wait on the availability of a TCP host and port
gin middleware to automatically generate RESTful API documentation with Swagger 2.0.
Real time celery monitoring using websockets
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
Standardized data set for machine learning of protein structure
Pytorch implementation of bistable recurrent cell with baseline comparisons.
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Python wrapper for the IBM RXN for Chemistry API
Bootstrap a python package with cookiecutter
Gnome Shell Extension to show a simple chooser to select Input & Output device based on gnome control center
Code for paper on automation of discovery and synthesis of targeted molecules: https://iopscience.iop.org/article/10.1088/2632-2153/abe808
pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/
RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactio…
Data from BAG Tweets made useful.
jalammar / jalammar.github.io
Forked from barryclark/jekyll-nowBuild a Jekyll blog in minutes, without touching the command line.
Listing of papers about machine learning for proteins.
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
COSIFER - COnSensus Interaction Network InFErence Service
Interface for relational graphs developed in iPC.
Visualizer for neural network, deep learning and machine learning models
Extensible methods for Python a la Haskell's typeclasses.
Deep Image Prior for denoising, superresolution, inpainting and more in the browser