Harvard-IACS / 2020-ComputeFest
β48Updated 4 years ago
Alternatives and similar repositories for 2020-ComputeFest:
Users that are interested in 2020-ComputeFest are comparing it to the libraries listed below
- πOverview of Modern Deep Learning Techniques Applied to Natural Language Processingβ46Updated 5 years ago
- β45Updated 2 years ago
- β28Updated 5 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 Augβ¦β54Updated 4 years ago
- IVADO/ Mila's Summer Deep Learning Schoolβ35Updated 5 years ago
- Slides, videos and other resources from MLT Talksβ108Updated 4 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.β117Updated 3 years ago
- Template for data generator with PyTorchβ131Updated 6 years ago
- Deep learning research implemented on notebooks using PyTorch.β63Updated 3 years ago
- Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.ioβ41Updated 3 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.β71Updated 6 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.β86Updated 3 years ago
- A project for implementing ML and NLP papersβ13Updated 4 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOCβ133Updated 4 years ago
- Material for my course: Optimization in Machine Learningβ31Updated 3 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"β55Updated 5 years ago
- The fast.ai data ethics courseβ14Updated last year
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)β47Updated 3 years ago
- Code examples for my Interpretable Machine Learning Blog Seriesβ56Updated 4 years ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning woβ¦β167Updated last year
- Neural networks in pandasβ51Updated 2 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Scienceβ91Updated 5 years ago
- This codebase is a starting point to get your Machine Learning project into Production.β43Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2019.β129Updated 4 years ago
- Notebooks for a courseβ34Updated 5 years ago
- A flexible neural network framework for running experiments and trying ideas.β80Updated 4 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019β25Updated 5 years ago
- Deep Learning from Scratch with PyTorchβ115Updated 4 years ago
- Experiment orchestrationβ103Updated 4 years ago
- DS-GA 1013 Mathematical Tools for Data Scienceβ53Updated 3 years ago