BrianEads

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.

BrianEads/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

BrianEads/awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

BrianEads/BayerCLAW

BayerCLAW workflow orchestration system for AWS

BrianEads/BrianEads

Config files for my GitHub profile.

BrianEads/ChatGPT-Data-Science-Prompts

A repository of 60 useful data science prompts for ChatGPT

BrianEads/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.

BrianEads/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

BrianEads/DeepLearning-in-Bioinformatics

For anyone who are eager to applying deep learning in bioinformatics!

BrianEads/machine-learning-collection

:closed_book:machine learning tech collections at Microsoft and subsidiaries.

BrianEads/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.

BrianEads/Deep-Residual-Learning-for-Image-Recognition

Implementation of https://arxiv.org/pdf/1512.03385.pdf

BrianEads/Deep_learning_examples

Examples of using deep learning in Bioinformatics

BrianEads/gt4sd-core

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

BrianEads/hnmt

Helsinki Neural Machine Translation system

BrianEads/interpret

Fit interpretable models. Explain blackbox machine learning.

BrianEads/isoreader

Read IRMS (Isotope Ratio Mass Spectrometry) data files into R

BrianEads/mathart

Create mathematical art with R

BrianEads/MeshCNN

Convolutional Neural Network for 3D meshes in PyTorch

BrianEads/moby

Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

BrianEads/sagemaker-studio-auto-shutdown-extension

BrianEads/tensor2robot

Distributed machine learning infrastructure for large-scale robotics research

BrianEads/tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

BrianEads/tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

BrianEads/VDCNN

Implementation of Very Deep Convolutional Neural Network for Text Classification