spurthy111

spurthy111's Stars

• youssefHosni/Data-Science-Interview-Preperation-Resources

  Resoruce to help you to prepare for your comming data science interviews

  920193

• juanitorduz/pymc-examples

  Examples of PyMC3 models, including a library of Jupyter notebooks.

  Language:Python11

• autonomio/EasyEnergy

  Track the energy consumption for your Machine Learning experiments.

  Language:Python4

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook3.8k2.3k

• gregberns/ABTesting

  Papers and Resources on running A/B Experiments

  8524

• wnzhang/rtb-papers

  A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

  3.5k919

• liyin2015/python-coding-interview

  A middle-to-high level open source algorithm book designed with coding interview at heart!

  Language:TeX2.1k443

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.5k248

• maelfabien/Machine_Learning_Tutorials

  Code, exercises and tutorials of my personal blog ! 📝

  Language:Jupyter Notebook779256

• DataTalksClub/machine-learning-zoomcamp

  Learn ML engineering for free in 4 months!

  Language:Jupyter Notebook8.6k2k

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.6k2.5k

• lionelmessi6410/Neural-Networks-from-Scratch

  In this tutorial, you will learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead by using NumPy.

  Language:Jupyter Notebook7813

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  59.4k9.8k

• Swiple/swiple

  Swiple enables you to easily observe, understand, validate and improve the quality of your data

  Language:Python7810

• ikatsov/tensor-house

  A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

  Language:Jupyter Notebook1.2k456

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook4.8k579

• mikkokotila/learning-deep-learning

  A proven and fun approach to rapidly learning deep learning.

  Language:Python151

• autonomio/talos

  Hyperparameter Experiments with TensorFlow and Keras

  Language:Python1.6k269

• bhklab/bioc2020workshop

  A workshop on using high throughput screening experiments in the realm of biomarker discovery.

  Language:Dockerfile52

• aedin/PCAworkshop

  An introduction to matrix factorization and PCA and SVD.

  Language:TeX3812

• hukai916/IntegratedChIPseqWorkshop

  Language:Dockerfile91

• jmacdon/Bioc2020Anno

  Language:Dockerfile114

• LieberInstitute/recountWorkshop2020

  BioC2020 workshop: Human RNA-seq data from recount2 and related packages

  Language:R83

• databio/cocoa_workshop_bioc2020

  Language:Dockerfile74

• PyCon/pycon-archive

  An archive of past PyCon websites

  Language:HTML3410

• hbctraining/Intro-to-ChIPseq

  Intro to ChIPseq using HPC

  Language:SCSS275151

• afshinea/stanford-cs-221-artificial-intelligence

  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

  2.5k492

• andkret/Cookbook

  The Data Engineering Cookbook

  13.4k2.5k

• Oshlack/MethylationAnalysisWorkflow

  A cross-package Bioconductor workflow for analysing methylation array data

  Language:TeX1114

• juanklopper/MIT_OCW_Linear_Algebra_18_06

  IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

  Language:Jupyter Notebook525179