nokcs's Stars
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
ramanathanlab/genslm
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
bitnine-oss/agensgraph
AgensGraph, a transactional graph database based on PostgreSQL
NVIDIA/NVFlare
NVIDIA Federated Learning Application Runtime Environment
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
colah/colah.github.io
cgpotts/cs224u
Code for Stanford CS224u
aws-samples/sagemaker-101-workshop
Hands-on demonstrations for data scientists exploring Amazon SageMaker
xbresson/CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
StaPH-B/docker-builds
:package: :whale: Dockerfiles and documentation on tools for public health bioinformatics
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ponnhide/pyCircos
python Circos
swainechen/closet
Personal scripts. Uncategorized and in various stages of niceness.
swainechen/browser
Bacterial genome browser scripts
lovasoa/whitebophir
Online collaborative Whiteboard that is simple, free, easy to use and to deploy
sanger-pathogens/Roary
Rapid large-scale prokaryote pan genome analysis
albertyw/itolapi
Python API for the Interactive Tree of Life (iTOL)
tseemann/abricate
:mag_right: :pill: Mass screening of contigs for antimicrobial and virulence genes
arpcard/rgi
Resistance Gene Identifier (RGI). Software to predict resistomes from protein or nucleotide data, including metagenomics data, based on homology and SNP models.
PacktPublishing/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
AlexAkulov/putty-color-themes
PuTTY Color Themes
CRG-CNAG/CalliNGS-NF
GATK RNA-Seq Variant Calling in Nextflow
rdbende/Sun-Valley-ttk-theme
A gorgeous theme for Tkinter/ttk, based on the Sun Valley visual style ✨
rdbende/Forest-ttk-theme
A beautiful modern theme for ttk, inspired by MS Excel's look 🌲🌳
rdbende/Azure-ttk-theme
A stunning modern theme for ttk inspired by Fluent Design ðŸ’
chanzuckerberg/czid-web
Infectious Disease Sequencing Platform