rhngla's Stars
faif/python-patterns
A collection of design patterns/idioms in Python
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
synercys/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
seandavi/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Phlya/adjustText
A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
pbloem/former
Simple transformer implementation from scratch in pytorch.
dcai-course/dcai-lab
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
openproblems-bio/openproblems
Formalizing and benchmarking open problems in single-cell genomics
civisanalytics/python-glmnet
A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
royerlab/napari-chatgpt
A napari plugin to process and analyse images with chatGPT!
lasso-net/lassonet
Feature selection in neural networks
NBISweden/workshop-scRNAseq
Single cell RNA sequencing analysis course
AmeliaMN/STAT220-labs
Pre-lab exercises for STAT 220 labs at the University of St Thomas
vsitzmann/pytorch_prototyping
Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)
ZWMiller/machine_learning_from_scratch
A place to hold various "from scratch" machine learning algorithms developed in Python as pedagogical tools.
scverse/scvi-tutorials
Notebooks used in scvi-tools tutorials
kuleshov-group/dgm-resources
Gabe-YHLee/NRAE-public
gwgundersen/dpcca
Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
Gabe-YHLee/IRVAE-public
solevillar/Inference_and_Representation
wangxu-scu/DeepCCA
Deep Canonical Correlation Analysis implemented with tensorflow
iancovert/dl-selection
Feature selection for deep learning models.
milo-lab/cellular_turnover
AllenInstitute/coupledAE-patchseq
Multimodal data alignment and cell type analysis with coupled autoencoders.
AmirAlavi/scipr
Single Cell Iterative Point set Registration (SCIPR) to align scRNA-seq data
dyf/blenderspin
AmirAlavi/sc-alignment-benchmarking
Supporting data and benchmarking software for our SCIPR paper. (Under Construction)