rishabhk108 / OptimizationML
Material for my course: Optimization in Machine Learning
☆31Updated 3 years ago
Alternatives and similar repositories for OptimizationML:
Users that are interested in OptimizationML are comparing it to the libraries listed below
- Open Source Annotation Tools for Computer Vision and NLP tasks☆53Updated 3 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆56Updated 4 years ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆18Updated 3 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 4 years ago
- CSCE 585 - Machine Learning Systems☆40Updated 2 months ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 5 months ago
- Implementing activation functions from scratch in Tensorflow.☆36Updated 3 years ago
- ☆40Updated last year
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Library for Multi-objective optimization in Gradient Boosted Trees☆77Updated 6 months ago
- Curated materials for different machine learning related summer schools☆19Updated 3 years ago
- My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)☆39Updated 5 years ago
- Stats 479 Project☆22Updated 5 years ago
- Information for readers of the fastai book☆67Updated 4 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…☆32Updated 6 years ago
- Collection of simple functions reusable across ML projects.☆20Updated 3 years ago
- A curated list of references for MLOps☆13Updated 4 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆10Updated 5 years ago
- A tutorial example for nbdev☆15Updated 3 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated last year
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆86Updated 2 years ago
- Cornell Birdcall Identification (a Kaggle competition) starter pack☆53Updated last year
- Understanding nuts and bolts of neural networks with PyTorch☆32Updated 4 years ago
- General Interpretability Package☆58Updated 2 years ago
- Introductory overview of Bayesian inference☆44Updated 5 years ago
- ☆22Updated 4 years ago
- Weekly humanitarian AI reading group at Mila.☆21Updated 5 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- The fast.ai data ethics course☆15Updated 2 years ago