n2cholas / dsc-workshops

Related projects: ⓘ

• ai-fast-track / fastai-visual-guide
  Notebooks for Fastai Viusal Guide
  ☆25Updated last year
• brohrer / taming_matplotlib
  Tutorials for getting the most out of Matplotlib
  ☆23Updated 3 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• mratsim / meilleur-data-scientist-france-2018
  My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)
  ☆12Updated 6 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆55Updated 4 years ago
• paperswithcode / tutorials
  Basic guidance on how to contribute to Papers with Code
  ☆20Updated 2 years ago
• Quansight / scipy-2019-rapids-tutorial
  Materials for the SciPy 2019 RAPIDS tutorial
  ☆21Updated 5 years ago
• j-cunanan / MLT-contributions
  ☆22Updated 3 years ago
• jph00 / hello_nbdev
  A tutorial example for nbdev
  ☆15Updated 2 years ago
• uvadlc / uvadlc_practicals_2021
  Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition
  ☆10Updated last year
• Anirudh257 / awesome-opensource-ML-collaborations
  List of online discord servers for ML collaborations.
  ☆21Updated 3 months ago
• fastai / fastconda
  Get packages onto your conda channel faster
  ☆22Updated last month
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• paperd / tensorflow
  TensorFlow materials
  ☆13Updated 3 years ago
• fastai / masks4all
  Make your own mask. My mask protects you. Your mask protects me.
  ☆26Updated last year
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆79Updated 4 years ago
• lvwerra / deep-math
  Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"
  ☆29Updated last year
• fastai / git-tools
  Tools to make git easier to use and to avoid the learning curve
  ☆20Updated 5 years ago
• sayakpaul / Denoised-Smoothing-TF
  Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
  ☆20Updated 3 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated last year
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆20Updated 2 years ago
• cbsudux / SOP-Generator
  A simple LSTM based Statement of Purpose Generator for grad school.
  ☆21Updated 5 years ago
• sayakpaul / portfolio
  Personal site of Sayak Paul. Deployed here 👉
  ☆24Updated last week
• dair-ai / ml-discussions
  ☆10Updated this week
• transformers-in-vision / acm-kdd-22-tutorial
  ☆16Updated this week
• rasbt / 2021-pydata-jeddah
  Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021
  ☆18Updated 3 years ago
• jfpuget / Kaggle_TrackML
  Code for the TrackML competition on Kaggle
  ☆15Updated 4 years ago
• muellerzr / nbdev_colab
  Utilizing nbdev in Google Colaboratory
  ☆14Updated last year
• iamtrask / Turbofan-Federated-Learning-POC
  Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining life…
  ☆11Updated 4 years ago
• fastai / fastpy
  An easy way to start a python programming environment using GitHub Codespaces.
  ☆15Updated 4 years ago