sujitpal / keras-tutorial-odsc2020Links
Notebooks for Keras Tutorial presented at ODSC West 2020
☆26Updated 4 years ago
Alternatives and similar repositories for keras-tutorial-odsc2020
Users that are interested in keras-tutorial-odsc2020 are comparing it to the libraries listed below
Sorting:
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- Tutorial on Automated Machine Learning at KDD 2020☆55Updated 4 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 4 years ago
- ☆94Updated 3 years ago
- Data Science: Principles and Practice, 2019-20☆11Updated 5 years ago
- TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet☆48Updated 4 years ago
- Material for my course: Optimization in Machine Learning☆31Updated 4 years ago
- ☆133Updated last year
- Jupyter notebook widget to quickly label text data☆47Updated 6 years ago
- This repo has moved to https://github.com/INRIA/scikit-learn-mooc/☆42Updated 5 years ago
- A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.☆18Updated 4 years ago
- Advanced Text Analytics for Business☆15Updated 7 years ago
- One day workshop for machine learning with scikit-learn☆63Updated last year
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Implementing activation functions from scratch in Tensorflow.☆36Updated 3 years ago
- Interactive machine learning algorithm visualisation using Python Jupyter notebooks☆53Updated 5 years ago
- ☆29Updated 5 years ago
- An implementation of a deep learning recommendation model (DLRM)☆10Updated 4 years ago
- ☆40Updated 2 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago
- Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing☆25Updated 6 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Code and data for SciPy 2018 talk on missing data☆21Updated 7 years ago
- General Interpretability Package☆58Updated 2 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- ☆27Updated 3 years ago
- A bit of everything about text and nlp [IN PROGRESS]☆28Updated 3 years ago
- Teaching materials for the text analytics course☆19Updated 7 years ago