JasonBenn / deep-learning-implementationsLinks
Implementation of deep learning algorithms and papers. Python, Tensorflow, PyTorch.
☆48Updated 8 years ago
Alternatives and similar repositories for deep-learning-implementations
Users that are interested in deep-learning-implementations are comparing it to the libraries listed below
Sorting:
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆273Updated 9 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆280Updated 7 years ago
- Deliberate Practice for Learning Deep Learning☆110Updated 7 years ago
- A constantly updated python machine learning cheatsheet☆168Updated 8 years ago
- A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!☆538Updated 4 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆596Updated 6 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆547Updated 6 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆150Updated 9 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
- Deep Learning Study Group☆330Updated 5 years ago
- ☆107Updated 7 years ago
- List of Machine Learning & Data Science Conferences☆82Updated 5 years ago
- A curated list of data science blogs☆100Updated 7 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 7 months ago
- Public Repository for cs109a, 2017 edition☆328Updated 2 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆501Updated 7 years ago
- ☆241Updated 2 years ago
- Notebook to download machine learning flashcards☆457Updated 5 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- I'll be working through the Fast.ai courses entirely in Google Colab notebooks. I'll publish them here!☆98Updated 7 years ago
- Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing an…☆81Updated 7 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆576Updated 5 years ago
- Machine learning flashcards☆223Updated 4 years ago
- Full Stack Data Science in Python☆257Updated 7 years ago
- ☆10Updated 5 years ago
- summer school coursework☆298Updated 7 months ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆782Updated 5 years ago
- Codes related to various ML Hackathons☆211Updated 6 years ago
- A step-by-step guide to get started with Applied Machine Learning☆142Updated 7 years ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆73Updated 2 years ago