EdwardRaff / Inside-Deep-LearningLinks
Inside Deep Learning: The math, the algorithms, the models
☆272Updated 2 years ago
Alternatives and similar repositories for Inside-Deep-Learning
Users that are interested in Inside-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆236Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆297Updated 5 years ago
- Debugging Machine Learning Models with Python, published by Packt☆61Updated 3 weeks ago
- Deep Learning Fundamentals -- Code material and exercises☆397Updated last year
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻☆480Updated 10 months ago
- ☆151Updated 4 years ago
- Getting Started with PyTorch Lightning, Published by Packt☆162Updated 3 weeks ago
- ☆169Updated last year
- ML algorithms in depth☆272Updated last year
- Mastering PyTorch, published by Packt☆336Updated 3 weeks ago
- Code included in the book, PyTorch Pocket Reference☆155Updated 4 years ago
- Learning Deep Learning☆326Updated last year
- Code Repository for The Kaggle Workbook, Published by Packt☆136Updated 3 weeks ago
- ☆257Updated 2 months ago
- All of the figures and notebooks for my deep learning book, for free!☆524Updated 2 months ago
- Reference code base for ML Engineering, Manning Publications☆134Updated 4 years ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆247Updated last year
- T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis☆481Updated last week
- Interpretable ML with Python, 2E - published by Packt☆105Updated 2 months ago
- Transformers 3rd Edition☆462Updated 5 months ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆217Updated 3 weeks ago
- Mastering NLP from Foundations to LLMs, Published by Packt☆118Updated this week
- Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications☆140Updated 3 years ago
- Code for the new Manning book on machine learning on tabular datasets☆63Updated last month
- ☆151Updated last year
- ☆143Updated 3 weeks ago
- Machine Learning Engineering with Python☆187Updated 3 weeks ago
- Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt☆213Updated 3 weeks ago
- ☆293Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated 3 weeks ago