mukul-rathi / deep-learning-tutorialsLinks
Code accompanying Deep Learning tutorials on blog - including implementations of CNN and LSTM from scratch
☆24Updated 4 years ago
Alternatives and similar repositories for deep-learning-tutorials
Users that are interested in deep-learning-tutorials are comparing it to the libraries listed below
Sorting:
- Repository for CS282R: Robust Machine Learning at Harvard University.☆71Updated 7 years ago
- Collection of Deep Reinforcement Learning Jupyter Notebooks. Each notebook is self-contained and presents single algorithm. These include…☆38Updated 5 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆176Updated 4 years ago
- Basic guidance on how to contribute to Papers with Code☆23Updated 3 years ago
- Example of a Cover letter for AI Residency☆80Updated 5 years ago
- Workshop materials created for the Data Science Club at UWaterloo.☆17Updated 2 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆137Updated 5 years ago
- ML implementations for practical use☆15Updated 5 years ago
- 🐲 Stanford CS234 : Reinforcement Learning☆25Updated 6 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Deep learning library in python from scratch☆44Updated 2 years ago
- Lectures for INFO8002 - Large-scale Data Systems, ULiège☆66Updated 2 years ago
- Material for my course: Optimization in Machine Learning☆31Updated 4 years ago
- NumPy - PyTorch - TensorFlow (+Keras)☆22Updated 4 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.☆86Updated 4 years ago
- Tracing back and exposing in chronological order the main ideas in the field of deep learning, to help everyone better understand the cur…☆67Updated 6 years ago
- How to build RNNs and LSTMs from scratch with NumPy.☆259Updated 4 years ago
- Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction☆89Updated 6 years ago
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.☆39Updated 6 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 4 years ago
- ♊ Stanford CS230 : Deep Learning☆15Updated 6 years ago
- Notebooks for a course☆38Updated 5 years ago
- Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆64Updated 6 years ago
- Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing an…☆81Updated 7 years ago
- NumPy fundamentals for tensor computation; Matplotlib for data visualization☆22Updated 6 years ago
- Notes on mathematical topics that pertain to machine learning☆109Updated 3 years ago
- A collection of Methods and Models for various architectures of Artificial Neural Networks☆41Updated 10 months ago
- Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation☆72Updated 8 years ago
- Map of deep learning and notes from papers.☆79Updated 6 years ago