kojino / Harvard-Robust-Machine-LearningLinks
Repository for CS282R: Robust Machine Learning at Harvard University.
☆71Updated 7 years ago
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
Sorting:
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆134Updated 4 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆137Updated 5 years ago
- ☆49Updated 4 years ago
- Deep learning research implemented on notebooks using PyTorch.☆64Updated 3 years ago
- A living collection of deep learning problems☆35Updated 8 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆274Updated 6 years ago
- ☆62Updated 6 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- ☆28Updated 6 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC☆96Updated 6 years ago
- Applied Machine Learning with Python☆79Updated last year
- COMS W4995 Applied Machine Learning - Spring 20☆246Updated 3 years ago
- ☆102Updated last year
- ☆31Updated 5 years ago
- A few notebooks on deep learning with PyTorch☆45Updated 2 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated 11 months ago
- ☆102Updated 6 years ago
- Deliberate Practice for Learning Deep Learning☆109Updated 6 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 4 years ago
- Exploring most useful libraries of Python. Each notebook covers basic and advanced functionalities of a python library.☆53Updated 7 years ago
- DSGA-1003: Machine Learning and Computational Statistics, Spring 2018☆26Updated 2 years ago
- data analysis, big data development, cloud, and any other cool things!☆30Updated 10 months ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- An introduction to Natural Language Processing (NLP) course☆40Updated 3 years ago
- Comprehensive list of machine learning videos☆38Updated 6 years ago
- Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…☆27Updated 4 years ago
- ☆48Updated 5 years ago