Brian Eads's repositories
awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
awesome-deepbio
A curated list of awesome deep learning applications in the field of computational biology
BayerCLAW
BayerCLAW workflow orchestration system for AWS
BrianEads
Config files for my GitHub profile.
ChatGPT-Data-Science-Prompts
A repository of 60 useful data science prompts for ChatGPT
CompositPerterbAnalysis
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
DeepLearning-in-Bioinformatics
For anyone who are eager to applying deep learning in bioinformatics!
machine-learning-collection
:closed_book:machine learning tech collections at Microsoft and subsidiaries.
tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Deep-Residual-Learning-for-Image-Recognition
Implementation of https://arxiv.org/pdf/1512.03385.pdf
Deep_learning_examples
Examples of using deep learning in Bioinformatics
gt4sd-core
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
hnmt
Helsinki Neural Machine Translation system
interpret
Fit interpretable models. Explain blackbox machine learning.
isoreader
Read IRMS (Isotope Ratio Mass Spectrometry) data files into R
mathart
Create mathematical art with R
MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
moby
Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
tensor2robot
Distributed machine learning infrastructure for large-scale robotics research
tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
VDCNN
Implementation of Very Deep Convolutional Neural Network for Text Classification