stanford-cs221 / autumn2019
Public website for the Autumn 2019-2020 offering of Stanford's CS221 (artificial intelligence) class.
☆31Updated 4 years ago
Alternatives and similar repositories for autumn2019:
Users that are interested in autumn2019 are comparing it to the libraries listed below
- Slides for my graduate deep learning course at Imperial College.☆6Updated 5 years ago
- On Certifying Non-uniform Bounds against Adversarial Attacks [ICML 2019]☆6Updated 5 years ago
- ☆6Updated 5 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Updated 2 years ago
- A lightweight implementation of the SimCLR unsupervised training framework in PyTorch.☆8Updated 4 years ago
- ☆14Updated 5 years ago
- CE9010 Introduction to Data Analysis, 2020☆7Updated 5 years ago
- Collection of machine learning research paper references☆26Updated 2 months ago
- ☆6Updated 2 years ago
- Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each…☆15Updated 9 years ago
- Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.☆77Updated 4 years ago
- Books, papers and links to latest research in ML/AI☆88Updated 9 months ago
- A lightweight experimental logging library☆50Updated 9 months ago
- Materials for the practical sessions at EEML2019☆79Updated 4 years ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- A library for evaluating representations.☆76Updated 3 years ago
- self-studying the Sutton & Barto the hard way☆196Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆570Updated 5 years ago
- ☆13Updated 4 years ago
- Deep learning model to identify a scene/character from 10 different animated movies☆29Updated 5 years ago
- ☆123Updated 6 years ago
- My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Comput…☆129Updated 4 years ago
- ☆196Updated 9 months ago
- A minimal implementation of autograd (in pure Python) 🍰☆95Updated 3 years ago
- Estimating Example Difficulty using Variance of Gradients☆63Updated 2 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Updated 5 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆270Updated 4 years ago
- Graph Neural Network☆43Updated 3 years ago