yanneta / deep-learning-data-instituteLinks
Repo for the course "Fundamentals of Deep Learning with Pytorch"
☆39Updated 3 years ago
Alternatives and similar repositories for deep-learning-data-institute
Users that are interested in deep-learning-data-institute are comparing it to the libraries listed below
Sorting:
- ☆49Updated 5 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Notebooks for deep learning course☆14Updated 3 years ago
- Material for PyCon 2019 NLP Tutorial☆33Updated 6 years ago
- 🔥 Introductory PyTorch tutorials with OReilly Media.☆58Updated 3 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- Data Science Resources☆79Updated 4 months ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 4 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 6 years ago
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- Slides and materials for most of my talks by year☆92Updated last year
- Course syllabus, notes, projects for USF's MSDS689☆61Updated last year
- a python based module (bot) to generate kaggle baseline kernels☆26Updated 6 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Project template for highly effective data science workflows☆29Updated last year
- The fast.ai data ethics course☆16Updated 2 years ago
- The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.☆30Updated 5 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…☆36Updated 4 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 9 months ago
- ☆15Updated 6 years ago
- This contains materials for the word embeddings workshop☆127Updated 8 years ago
- ☆37Updated 3 months ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆24Updated 5 years ago