wayoffthecoast's repositories
AgileRL
Streamlining reinforcement learning with RLOps
apbs-pdb2pqr
A fork of https://github.com/Electrostatics/apbs-pdb2pqr
api-client
Teselagen api client
awesome-deep-learning-papers
The most cited deep learning papers
awesome-equivariant-network
Paper list for equivariant neural network
Awesome-Graph-Level-Learning
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…
awesome-graph-transformer
Papers about graph transformers.
awesome-protein-representation-learning
Awesome Protein Representation Learning
cello
Genetic circuit design automation
dgx_researcher
Dockerfile for container with popular image processing libraries, ideally for NVIDIA DGX-1 Nodes. Good for WSI Medical Image Research. Can deploy Stylegan, Stylegan2, ProgGAN.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
slurmy
template scripts and notes for using SLURM on Nvidia DGX GPU cluster
DNA-scanner
Online tool for comparing prices and feasibility of DNA synthesis
DropSynth
Scripts to design DropSynth oligos
eVOLVERCLI
A Command-Line Interface for the eVOLVER Continuous Culture Framework
geneious-mira
The MIRA (Mimicking Intelligent Read Assembly) genome fragment assembler is great for ‘tricky’ projects with high numbers of repeats and it can handle hybrid data. MIRA is used for tasks such as mutation detection in different cell types, similarity analysis of transcripts between organisms, and pristine assembly of sequences from various sources for oligo design in clinical microarray experiments. It works best on sequences with up to 100-150 megabases or 20-40 million reads.
Hands-On-Deep-Learning-Algorithms-with-Python
Hands-On Deep Learning Algorithms with Python, By Packt
Introduction_to_deep_learning
Introduction to Deep Learning with theory and coding examples
Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
masif
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
netron
Visualizer for neural network, deep learning, and machine learning models
OpenDrop
Open Source Digital Microfluidics Bio Lab
primer3-py
Simple oligo analysis and primer design
protein-design-tutorials
Tutorials, cheat sheets, and other resources for computational methods for protein design.
pydna
Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning in Python and Jupyter notebooks.
slurm-for-ml
A Machine Learning workflow for Slurm.
teselagen-react-components
React components shared across teselagen's apps