machine-learning-interview-prep / CS229_ML
🍟 Stanford CS229: Machine Learning
☆24Updated 6 years ago
Alternatives and similar repositories for CS229_ML:
Users that are interested in CS229_ML are comparing it to the libraries listed below
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …☆46Updated 4 years ago
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning☆56Updated 6 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆134Updated 6 years ago
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆42Updated this week
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆138Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆85Updated 6 years ago
- Berkeley CS285 2019 homework solution☆30Updated 2 years ago
- This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.☆391Updated 2 weeks ago
- This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This not…☆48Updated 4 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆176Updated 4 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆146Updated 2 years ago
- Bayesian Methods for Machine Learning☆64Updated 5 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆34Updated 7 years ago
- Stanford CS234: Reinforcement Learning assignments and practices☆49Updated 9 months ago
- ☆224Updated 2 years ago
- Repository for ML in Practice Course at CMU (10-718)☆62Updated last year
- Pytorch solutions for UC Berkeley's cs285 assignments☆138Updated 3 years ago
- Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning☆23Updated 6 years ago
- ☆19Updated 9 months ago
- Repository for my master's degree graduation work☆19Updated last week
- Deep Neural Network course @ UC Berkeley, taken Spring 2019☆10Updated 2 years ago
- Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction☆89Updated 6 years ago
- 🐲 Stanford CS234 : Reinforcement Learning☆24Updated 5 years ago
- My personal practice to implement algorithms of RL from scratch.☆35Updated 4 years ago
- Source code for most of my course notes☆20Updated 4 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆307Updated 3 years ago
- Gathered multiple pdfs regarding interview questions on machine learning and deep learning☆60Updated 5 years ago
- 🟣 PyTorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.☆102Updated last year