m2dsupsdlclass / lectures-labsLinks
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
☆1,460Updated last year
Alternatives and similar repositories for lectures-labs
Users that are interested in lectures-labs are comparing it to the libraries listed below
Sorting:
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆596Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆491Updated 6 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆936Updated last year
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,812Updated 5 years ago
- The Hitchiker's Guide to PyTorch☆1,197Updated 4 years ago
- Deep Learning tutorials in jupyter notebooks.☆1,813Updated 2 years ago
- A collection of video resources for machine learning☆1,552Updated 4 years ago
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,970Updated 2 years ago
- Notes for Fastai Deep Learning Course☆1,126Updated 7 months ago
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,318Updated 6 months ago
- List of all the lessons learned, best practices, and links from my time studying machine learning☆1,004Updated 3 years ago
- PyTorch Tutorial (1.7)☆457Updated 4 years ago
- A project template to simplify building and training deep learning models using Keras.☆797Updated 2 years ago
- Various tutorials given for welcoming new students at MILA.☆986Updated 7 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆660Updated 5 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.☆567Updated 2 years ago
- Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyda…☆1,386Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 6 months ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆541Updated 6 years ago
- My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano☆1,192Updated 3 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆422Updated 6 years ago
- Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data☆473Updated 6 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,782Updated 5 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆272Updated 9 years ago
- Introduction to Deep Learning for Natural Language Processing☆603Updated 5 years ago
- based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)☆317Updated 8 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆574Updated 5 years ago
- An NLP workshop about concrete solutions to real problems☆1,082Updated 4 years ago
- A python library for visualizing Artificial Neural Networks (ANN)☆1,249Updated 5 years ago