MysoreSparrow's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
zauberzeug/nicegui
Create web-based user interfaces with Python. The nice way.
BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
microsoft/BioGPT
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
SkalskiP/ILearnDeepLearning.py
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
sib-swiss/training-collection
Collection of bioinformatics training materials
illustrated-machine-learning/illustrated-machine-learning.github.io
Website containing illustrations about Machine Learning theory!
smorabit/hdWGCNA
High dimensional weighted gene co-expression network analysis
stuart-lab/signac
R toolkit for the analysis of single-cell chromatin data
openproblems-bio/openproblems
Formalizing and benchmarking open problems in single-cell genomics
keerthanpg/talktopapers
NBISweden/workshop-scRNAseq
Single cell RNA sequencing analysis course
BiomedicalMachineLearning/stLearn
A novel machine learning pipeline to analyse spatial transcriptomics data
aishwaryanevrekar/Machine-Learning-Interview-Questions
This repository is regarding important questions asked in Machine Learning Engineer Interviews.
mdozmorov/scATAC-seq_notes
scATAC-seq data analysis tools and papers
ma-compbio/SpiceMix
spatial transcriptome, single cell
sib-swiss/first-steps-with-python-training
repository of the 3-day course "First steps with Python in Life Sciences" from SIB-training
swaruplabUCI/ArchRtoSignac
An R package performing object conversion from ArchRProject (ArchR) to Signac SeuratObject (Signac)
almeidasilvaf/BioNERO
Easy and comprehensive biological network reconstruction and analysis
dpcook/scrna_seq_workshop_2020
All data and notebook for my 2020 scRNA-seq analysis workshop
troycomi/snakemake-training
Increasingly complete example bioinformatics workflow
mihirkudale/Chronic-Kidney-Disease