Alternatives and similar repositories for Harvard-Robust-Machine-Learning

Users that are interested in Harvard-Robust-Machine-Learning are comparing it to the libraries listed below

• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• IndyNYU / Machine-Learning-Interview
  A List of Machine Learning Interview Questions.
  ☆46Updated 6 years ago
• dyadxmachina / maths-for-deep-learning-ai
  A open source book covering the foundational maths of deep learning and machine learning using TensorFlow
  ☆33Updated 6 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆112Updated 6 years ago
• chiphuyen / requests-for-research
  A living collection of deep learning problems
  ☆35Updated 8 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆137Updated 5 years ago
• khanhnamle1994 / deep-reinforcement-learning
  Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
  ☆56Updated 6 years ago
• NiteshMethani / Deep-Learning-CS7015
  This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the DL course at IIT,Ma…
  ☆10Updated 7 years ago
• dalmia / Coursera-Specializations
  Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing an…
  ☆81Updated 7 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 4 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• Machine-Learning-Tokyo / Deep_Reinforcement_Learning
  Resources, papers, tutorials
  ☆125Updated 5 years ago
• rvaughan / DataInterviewQuestions
  ☆31Updated 5 years ago
• mlberkeley / Data-Science-Decal-Fall-2017
  ☆44Updated 7 years ago
• GokuMohandas / oreilly-pytorch
  🔥 Introductory PyTorch tutorials with OReilly Media.
  ☆58Updated 3 years ago
• Harvard-IACS / 2020-ComputeFest
  ☆48Updated 5 years ago
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 5 years ago
• rchavezj / Cracking_The_Machine_Learning_Interview
  (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subh…
  ☆87Updated 5 years ago
• davidrosenberg / ttml2021
  Course materials for DSGA 3001: Tools and Techniques for Machine Learning (Spring 2021)
  ☆36Updated 3 years ago
• oldclesleycode / linear-algebra-with-python
  basic linear algebra with Python!
  ☆25Updated 4 years ago
• goodhamgupta / maths-for-ml
  Notes and solutions for the Mathematics for Machine Learning Specialization
  ☆80Updated 6 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 6 years ago
• khanhnamle1994 / complete-guide-to-deep-learning
  This guide is for those who know some math, know some programming language and now want to dive deep into deep learning
  ☆92Updated 7 years ago
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 3 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• brianspiering / nlp-course
  An introduction to Natural Language Processing (NLP) course
  ☆40Updated 3 years ago
• greentfrapp / deep-learning-book-notes
  Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆64Updated 6 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 6 years ago