skr3178's repositories
CS224W_Winter2021
CS224W Stanford Winter 2021 Homework solutions
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
gcp-for-bioinformatics
GCP Essentials for Bioinformatics Researchers
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
lisbon_single_cell_2021
Repository for the notebooks used in the Single Cell workshop for the Lisbon Summer School 2021
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
NormalizedNerd
Codes for the videos of my YouTube channel
notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pynndescent
A Python nearest neighbor descent for approximate nearest neighbors
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
scRNA.seq.course
Analysis of single cell RNA-seq data course
scvi-tools
Deep probabilistic analysis of single-cell omics data
single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
skr3178
Config files for my GitHub profile.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud