leehanchung / cs182Links
Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
☆85Updated 3 years ago
Alternatives and similar repositories for cs182
Users that are interested in cs182 are comparing it to the libraries listed below
Sorting:
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 7 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆91Updated 7 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆155Updated last year
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆177Updated 3 years ago
- ☆90Updated 2 years ago
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆81Updated this week
- Repository for ML in Practice Course at CMU (10-718)☆71Updated last month
- ☆55Updated last year
- In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.☆126Updated last year
- ☆241Updated 3 years ago
- https://cs330.stanford.edu/☆62Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆298Updated 5 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆143Updated 3 years ago
- A guide to improve your research proposals.☆204Updated 5 years ago
- A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for l…☆159Updated 4 years ago
- Notebooks for "Probabilistic Machine Learning" book☆201Updated 3 years ago
- Stanford CS234: Reinforcement Learning assignments and practices☆62Updated last year
- This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsob…☆99Updated 5 years ago
- Stanford CS234 : Reinforcement Learning☆178Updated 6 years ago
- Inside Deep Learning: The math, the algorithms, the models☆274Updated 2 years ago
- ☆30Updated 7 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆199Updated 2 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆157Updated 7 years ago
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …☆55Updated 5 years ago
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning☆57Updated 7 years ago
- Repository for my Big Data Optimization course☆37Updated 4 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆170Updated 2 years ago
- This repository contains materials from the author's deep learning course at UC Berkeley lectured by Prof. Sahai, including coursework, a…☆42Updated 2 years ago
- Getting Started with PyTorch Lightning, Published by Packt☆162Updated last month