Alternatives and similar repositories for 2019-computefest

Users that are interested in 2019-computefest are comparing it to the libraries listed below

• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆81Updated 5 years ago
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• Harvard-IACS / 2020-ComputeFest
  ☆48Updated 5 years ago
• rvaughan / DataInterviewQuestions
  ☆31Updated 5 years ago
• navneetkrc / Deep-Learning-Experiments-implemented-using-Google-Colab
  Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
  ☆21Updated last month
• Machine-Learning-Tokyo / ML_Fairness_Ethics_Explainability
  Fairness, Ethics, Explainability in AI and ML
  ☆22Updated 5 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• aishajv / Unfolding-Naive-Bayes-from-Scratch
  ☆11Updated 6 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆64Updated 3 years ago
• Harvard-IACS / 2020F-AC295
  This repository contains materials for AC295 fall 2020
  ☆19Updated 4 years ago
• lavanyashukla / neural_networks
  ☆50Updated 4 years ago
• muellerzr / fastai-Experiments-and-tips
  My experiments and progress within various fastai applications
  ☆56Updated 5 years ago
• jcatanza / Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
  Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…
  ☆26Updated 5 years ago
• bgbg / datascience_dataviz_workshop
  Data visualization workshop
  ☆11Updated 5 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆79Updated last year
• mallahyari / ml_tutorial
  This repository explains machine learning concepts
  ☆53Updated last year
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 6 years ago
• MicPie / fastai_course_v3
  Notebooks for the fast.ai v3 course
  ☆10Updated 6 years ago
• dipanjanS / nlp_workshop_iisc19
  Hands-on examples showcasing popular NLP applications
  ☆19Updated 5 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 4 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• rajat5ranjan / AV-Innoplexus-Online-Hiring-Hackathon-Sentiment-Analysis
  Innoplexus Online Hiring Hackathon: Sentiment Analysis organised by Analytics Vidya
  ☆11Updated 5 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 5 years ago
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆38Updated 5 years ago
• DeltaAnalytics / machine_learning_resources
  Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…
  ☆25Updated 7 years ago
• gabrieltseng / datascience-projects
  A collection of personal data science projects
  ☆58Updated last year