rishabhk108 / OptimizationML
Material for my course: Optimization in Machine Learning
☆31Updated 4 years ago
Alternatives and similar repositories for OptimizationML
Users that are interested in OptimizationML are comparing it to the libraries listed below
Sorting:
- Code examples for my Interpretable Machine Learning Blog Series☆58Updated 4 years ago
- Open Source Annotation Tools for Computer Vision and NLP tasks☆53Updated 3 years ago
- ☆40Updated last year
- My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)☆39Updated 5 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 4 years ago
- My personal notes on Machine Learning☆143Updated 4 years ago
- Code samples and other materials for presentations by Bespoke tech team members☆82Updated 2 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
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆10Updated 5 years ago
- Implementing activation functions from scratch in Tensorflow.☆36Updated 3 years ago
- CSCE 585 - Machine Learning Systems☆39Updated 5 months ago
- ☆22Updated 4 years ago
- Information for readers of the fastai book☆67Updated 4 years ago
- Example of a Cover letter for AI Residency☆80Updated 5 years ago
- A living collection of deep learning problems☆35Updated 8 years ago
- Yet another mini autodiff system for educational purposes☆30Updated 6 months ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆20Updated 3 years ago
- Stats 479 Project☆22Updated 6 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Linear Algebra for Machine Learning Book Exercises☆13Updated 5 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- Curated materials for different machine learning related summer schools☆19Updated 4 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆137Updated 5 years ago
- A tutorial example for nbdev☆15Updated 3 years ago
- Boiler plate code for Torch based ML projects☆10Updated 3 years ago
- Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty☆14Updated 7 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Deploy fastai models with Docker☆19Updated 4 years ago
- Books, papers and links to latest research in ML/AI☆89Updated 10 months ago