Harvard-IACS / 2019-computefest

Related projects ⓘ

Alternatives and complementary repositories for 2019-computefest

• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 4 years ago
• Jason-M-Richards / Imputation-Techniques
  Fast, efficient code to pull non-null categorical data out, encode it and impute nulls with KNN Impute from fancyimpute library
  ☆17Updated 4 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆55Updated 4 years ago
• The-AI-Summer / Introduction-to-Deep-Learning-and-Neural-Networks-Course
  Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
  ☆40Updated 3 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆63Updated 3 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• rvaughan / DataInterviewQuestions
  ☆30Updated 5 years ago
• mallahyari / ml_tutorial
  This repository explains machine learning concepts
  ☆52Updated last year
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆51Updated 3 years ago
• abhishekkrthakur / ml_dev_env
  Machine Learning / Deep Learning Environment. Everywhere. Anywhere.
  ☆50Updated 4 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆64Updated 4 years ago
• Harvard-IACS / 2020-ComputeFest
  ☆48Updated 4 years ago
• priyadarshi0007 / TimeSeries-AIEngineering
  This is a repo for all the time series related notebook for AIENgineering
  ☆29Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated last year
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆25Updated 3 years ago
• ml-tooling / ml-project-template
  ML project template facilitating both research and production phases.
  ☆102Updated 5 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 5 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆28Updated 7 years ago
• COGS108 / Readings
  A curated list of suggested reading materials.
  ☆14Updated last month
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆29Updated 2 years ago
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 6 years ago
• mlhcmit / recitations
  Here we will post recitation materials.
  ☆9Updated 4 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• Madhu009 / dataDL.ai
  This publication on medium solves DL datasets with neural nets (Complete analysis of data sets)
  ☆10Updated last year
• PacktPublishing / Hands-On-One-shot-Learning-with-Python
  Hands-On One-shot Learning with Python, published by Packt
  ☆50Updated last year
• Apress / ai-for-healthcare-keras-tensorflow-2.0
  Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal
  ☆15Updated 3 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆45Updated 4 years ago
• Harvard-IACS / 2020F-AC295
  This repository contains materials for AC295 fall 2020
  ☆19Updated 3 years ago