chandrad

chandrad's Stars

• sravandanda/Python-ODE-Model

  Mid Term Class Project

  Language:Python1

• sravandanda/beg_chem_proj

  This is a test project

  11

• lintool/IR-Reproducibility

  Open-Source Information Retrieval Reproducibility Challenge

  Language:Shell5015

• szilard/benchm-ml

  A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

  Language:R1.9k334

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k6.8k

• uwescience/datasci_course_materials

  Public repository for course materials for the Data Science at Scale Specialization at Coursera

  Language:HTML9172.4k

• marcoalt/Regression-parameter-estimates

  R code for parameter estimates in regression models with manual implementation of least squares, gradient descent and monte carlo methods.

  Language:R33

• yhat/db.py

  db.py is an easier way to interact with your databases

  Language:Python1.2k111

• jdwittenauer/ipython-notebooks

  A collection of IPython notebooks covering various topics.

  Language:Jupyter Notebook2.6k1.5k

• anaderi/lhcb_trigger_ml

  LHCb trigger based on machine learning research

  Language:Python178

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.6k7.9k

• ChenglongChen/kaggle-CrowdFlower

  1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

  Language:C++1.8k660

• amueller/scipy_2015_sklearn_tutorial

  Scikit-Learn tutorial material for Scipy 2015

  Language:Python576311

• peterroelants/peterroelants.github.io

  Blog

  Language:Jupyter Notebook336181

• s16h/py-must-watch

  Must-watch videos about Python

  Language:HTML3.3k266

• benhamner/Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

  Language:Python1.6k454

• aigamedev/scikit-neuralnetwork

  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

  Language:Python1.2k220

• Kunstmord/kaggle-otto

  Description of approaches to the Otto Group Product Classification Challenge on Kaggle

  71

• qinwf/awesome-R

  A curated list of awesome R packages, frameworks and software.

  Language:R6k1.5k

• syhw/DL4H

  Deep learning for hackers: a hands-on approach to machine learning and deep learning.

  Language:Python6823

• yoonkim/CNN_sentence

  CNNs for sentence classification

  Language:Python2k826

• rasbt/pattern_classification

  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

  Language:Jupyter Notebook4.2k1.3k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python66.2k14.7k

• glouppe/phd-thesis

  Repository of my thesis "Understanding Random Forests"

  Language:TeX526152

• MLWave/kaggle-criteo

  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge

  Language:Python9746

• MLWave/kaggle_acquire-valued-shoppers-challenge

  Code for the Kaggle acquire valued shoppers challenge

  Language:Python6660

• ipython/ipython

  Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

  Language:Python16.3k4.4k

• alzmcr/allstate

  Kaggle's Allstate Purchase Prediction Challenge

  Language:Python88112

• sujitpal/statlearning-notebooks

  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

  376232

• rafalcycon/kaggle-allstate

  Predict a purchased policy based on transaction history.

  Language:R1724