n2cholas / dsc-workshopsLinks
Workshop materials created for the Data Science Club at UWaterloo.
☆17Updated 3 years ago
Alternatives and similar repositories for dsc-workshops
Users that are interested in dsc-workshops are comparing it to the libraries listed below
Sorting:
- We are looking to predict, visualize and act to contain the 2019 n-Corona Virus, through the power of data science.☆21Updated 4 years ago
- Notebooks for Fastai Viusal Guide☆25Updated 2 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 4 months ago
- Basic guidance on how to contribute to Papers with Code☆23Updated 3 years ago
- The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.☆30Updated 5 years ago
- ☆22Updated 4 years ago
- Accelerated Stochastic Power Iteration with Momentum☆9Updated 7 years ago
- Functional machine learning for fun☆85Updated 4 years ago
- Kaggle Reading Group (Video & Paper list), Kaggle Coding Videos☆28Updated 5 years ago
- An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data☆37Updated 4 years ago
- This repository contains code and theory of mathematical concepts required to master Machine Learning☆15Updated 7 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- Quantum Black Hackathon organised by Analytics Vidya☆13Updated 6 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).☆41Updated 4 years ago
- 🔥 Introductory PyTorch tutorials with OReilly Media.☆58Updated 3 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Data science and ML with Dask☆14Updated 4 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"☆30Updated 2 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- A neural network hyper parameter tuner☆30Updated last year
- MSDS593 -- Exploratory data analysis (EDA) at the University of San Francisco☆26Updated 4 years ago
- Tutorials for getting the most out of Matplotlib☆22Updated 4 years ago
- Lime: Explaining the predictions of any machine learning classifier☆16Updated 6 years ago
- Operations Research Algorithms☆17Updated last year
- ☆92Updated 4 years ago
- A collection of utilities for writing labeling functions, transformation functions, and slicing functions.☆22Updated 5 years ago
- A tutorial example for nbdev☆15Updated 3 years ago