m2dsupsdlclass / lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
☆1,440Updated 7 months ago
Alternatives and similar repositories for lectures-labs:
Users that are interested in lectures-labs are comparing it to the libraries listed below
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,793Updated 4 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 2 years ago
- Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data☆472Updated 5 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆657Updated 4 years ago
- ☆913Updated 2 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,771Updated 2 years ago
- A collection of video resources for machine learning☆1,542Updated 4 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,590Updated 8 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆937Updated last year
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,956Updated last year
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 5 years ago
- ⛔️ DEPRECATED brew: Python Ensemble Learning API☆302Updated 6 years ago
- Introduction to Deep Learning for Natural Language Processing☆603Updated 4 years ago
- based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)☆317Updated 7 years ago
- Implementations of CNNs, RNNs, GANs, etc☆1,057Updated 6 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆675Updated 9 months ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆323Updated last year
- Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)☆636Updated 7 years ago
- Stanford Machine Learning course exercises implemented with scikit-learn☆346Updated 4 years ago
- A set of useful tools for competitive data science.☆550Updated 2 years ago
- ☆381Updated 7 years ago
- Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library☆3,250Updated last year
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,318Updated 6 years ago
- Machine learning glossary☆3,054Updated 7 months ago
- LaTeX files for the Deep Learning book notation☆1,738Updated last year
- Hyper-parameter optimization for sklearn☆1,618Updated last week
- Overview of Modern Deep Learning Techniques Applied to Natural Language Processing☆1,334Updated 5 years ago