the-deep-learners / study-groupLinks
Deep Learning Study Group
☆329Updated 4 years ago
Alternatives and similar repositories for study-group
Users that are interested in study-group are comparing it to the libraries listed below
Sorting:
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆175Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆276Updated 7 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆104Updated 8 years ago
- A curated list of data science blogs☆100Updated 7 years ago
- Chapterwise code available in the book☆151Updated 6 years ago
- Notebook to download machine learning flashcards☆457Updated 5 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆261Updated 8 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- AI & Deep Learning Enthusiasts Meetup Project & Study Sessions☆90Updated 6 years ago
- "Deep Learning with TensorFlow" LiveLessons☆901Updated last year
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Full Stack Data Science in Python☆256Updated 7 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆272Updated 9 years ago
- Public Repository for cs109a, 2017 edition☆327Updated 2 years ago
- This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"☆395Updated 8 years ago
- Udacity's Deep Learning Nano Foundation program.☆394Updated 8 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆541Updated 6 years ago
- My exhaustive repo of free deep learning resources☆50Updated 8 years ago
- A few notebooks on deep learning with PyTorch☆45Updated 3 years ago
- Harvard CS109b Public Repository☆236Updated 5 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆310Updated 4 years ago
- ☆113Updated 3 years ago
- A constantly updated python machine learning cheatsheet☆166Updated 8 years ago
- A repository containing essential math courses for machine learning aspirants!☆53Updated 8 years ago
- All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1☆69Updated 7 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆491Updated 6 years ago
- This is the syllabus for "Move 37", Siraj Raval's new course at School of AI☆213Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- Learn applied deep learning from zero to deployment using TensorFlow 1.8+☆162Updated 7 years ago