jidiazhernandez

jidiazhernandez's Stars

• OpenRefine/OpenRefine

  OpenRefine is a free, open source power tool for working with messy data and improving it

  Language:Java10.9k1.9k

• ben519/DataWrangling

  The ultimate reference guide to data wrangling with Python and R

  Language:R24082

• src-d/awesome-machine-learning-on-source-code

  Cool links & research papers related to Machine Learning applied to source code (MLonCode)

  6.2k842

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.4k4.1k

• 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.

  Language:Python23.9k4.6k

• rasbt/python-machine-learning-book-2nd-edition

  The "Python Machine Learning (2nd edition)" book code repository and info resource

  Language:Jupyter Notebook7.1k2.8k

• OpenGene/fastp

  An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

  Language:C++1.9k333

• OpenGene/AfterQC

  Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data

  Language:Python20651

• google/fhir

  FHIR Protocol Buffers

  Language:C++835190

• kiwtir/RWEN

  Language:R3

• taspinar/siml

  Machine Learning algorithms implemented from scratch

  Language:Jupyter Notebook483259

• jorditorresBCN/FirstContactWithTensorFlow-2ndEdition

  FirstContactWithTensorFlow-2nEdition

  Language:Python2121

• jtleek/datasharing

  The Leek group guide to data sharing

  6.5k243k

• Fatou1993/elements-of-programming-interviews-python

  Solutions to some exercises in EPI-Python

  Language:Python2

• nygenome/lancet

  Microassembly based somatic variant caller for NGS data

  Language:C15333

• scikit-learn-contrib/category_encoders

  A library of sklearn compatible categorical variable encoders

  Language:Python2.4k395

• tdpetrou/Learn-Pandas

  Tutorials on how to use pandas effectively to do data analysis

  Language:Jupyter Notebook1.1k329

• adeshpande3/Kaggle-Zillow

  Repo for the $1.2 million Kaggle competition

  Language:Jupyter Notebook114

• adeshpande3/MachineLearningReimplementations

  Just trying to reimplement machine learning techniques like linear regression, neural nets, logistic regression, etc in Python

  Language:Python3217

• adeshpande3/PyTorch-Programs

  Trying out PyTorch because the hype is real

  Language:Jupyter Notebook101

• adeshpande3/March-Madness-2017

  Kaggle Competition for Predicting NCAA Basketball Tourney Games

  Language:Jupyter Notebook7152

• adeshpande3/Generative-Adversarial-Networks

  Tutorial on GANs

  Language:Jupyter Notebook289128

• adeshpande3/Machine-Learning-Links-And-Lessons-Learned

  List of all the lessons learned, best practices, and links from my time studying machine learning

  993343

• adeshpande3/LSTM-Sentiment-Analysis

  Sentiment Analysis with LSTMs in Tensorflow

  Language:Jupyter Notebook980431

• adeshpande3/Tensorflow-Programs-and-Tutorials

  Implementations of CNNs, RNNs, GANs, etc

  Language:Jupyter Notebook1.1k322

• C3-CSIRO/Meltdown

  Tool for analysing DSF experiments

  Language:Python24

• grofte/NAMI

  GUI-based Python program for thermal shift assay data analysis and interpretation

  Language:Python105

• isayev/ANI1_dataset

  A data set of 20 million calculated off-equilibrium conformations for organic molecules

  Language:Python9618

• XifengGuo/CapsNet-Keras

  A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

  Language:Python2.5k652

• google/nucleus

  Python and C++ code for reading and writing genomics data.

  Language:C++784125