MislavJuric / dive-into-deep-learning
These are my exercise solutions to some of the exercises from Dive into Deep Learning book. They're in the pytorch folder.
☆24Updated last year
Alternatives and similar repositories for dive-into-deep-learning:
Users that are interested in dive-into-deep-learning are comparing it to the libraries listed below
- R and Python solutions to applied exercises in An Introduction to Statistical Learning with Applications in R (corrected 7th ed)☆15Updated 5 years ago
- Repo for MIT 6.036 Machine Learning☆24Updated 4 years ago
- Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.☆10Updated 4 years ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆157Updated 8 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆75Updated 6 years ago
- ☆25Updated 2 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆210Updated 3 years ago
- All notes, slides and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford☆19Updated 4 years ago
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆38Updated this week
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆83Updated 2 years ago
- Fine-tuning LLM with LoRA (Low-Rank Adaptation) from scratch (Oct 2023)☆16Updated last year
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆126Updated last year
- repo for CMU course - Machine Learning in Practice☆12Updated 9 months ago
- Contains important notes/definitions/propositions from the book Algebra, Topology, Differential Calculus, and Optimization Theory for Com…☆44Updated 4 years ago
- Books, courses, videos and blogs, mostly about Deep Learning.☆40Updated 5 months ago
- Debugging Machine Learning Models with Python, published by Packt☆54Updated 3 weeks ago
- Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition☆10Updated 2 years ago
- Getting Started with PyTorch Lightning, Published by Packt☆154Updated last year
- Natural Language Processing Courses with Resources☆33Updated 3 months ago
- Time Series Analysis with Python 3.x [Video], published by Packt☆29Updated 2 years ago
- Source Code for "Computer Vision Projects with PyTorch" by Akshay Kulkarni, Adarsha Shivananda, and Nitin Ranjan Sharma☆25Updated 2 years ago
- Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book☆18Updated 3 years ago
- Code Repository for The Kaggle Workbook, Published by Packt☆118Updated last year
- README☆8Updated 8 months ago
- Coursera-Fundamentals of Reinforcement Learning Specialization.☆12Updated 9 months ago
- The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoen…☆54Updated 2 years ago
- Math behind all the mainstream tree-based machine learning models☆37Updated 5 years ago
- All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford☆13Updated 3 years ago
- Hands-On Natural Language Processing with PyTorch 1.x, published by Packt☆47Updated 2 years ago
- ML with Python: Algorithm and Example☆10Updated 4 years ago