daturkel / learning-papersLinks
Landmark Papers in Machine Learning
☆675Updated 2 months ago
Alternatives and similar repositories for learning-papers
Users that are interested in learning-papers are comparing it to the libraries listed below
Sorting:
- Collection of important articles to be treated as a textbook☆812Updated last month
- ☆132Updated 2 years ago
- Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps☆274Updated last month
- Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer☆1,286Updated last year
- ☆107Updated last year
- Language model alignment-focused deep learning curriculum☆1,482Updated last year
- Pen and paper exercises in machine learning☆2,498Updated last year
- Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)☆513Updated last month
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.☆2,174Updated 4 months ago
- ☆311Updated 3 years ago
- NYU Deep Learning Spring 2021☆1,642Updated last month
- 🧠 A study guide to learn about Transformers☆1,611Updated 2 years ago
- ML algorithms in depth☆266Updated last year
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,185Updated 2 years ago
- ☆456Updated last year
- A list of research papers in the domain of machine learning, deep learning and related fields.☆166Updated last year
- ☆266Updated 3 months ago
- Machine Learning Open Source University☆913Updated 3 months ago
- Leetcode for Pytorch☆1,591Updated 2 months ago
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆1,164Updated 3 years ago
- Collection of useful machine learning codes and snippets (originally intended for my personal use)☆832Updated last year
- Code / solutions for Mathematics for Machine Learning (MML Book)☆1,184Updated last month
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆172Updated last year
- Software design principles for machine learning applications☆371Updated 2 months ago
- [Resource] A top level overview of major DL architectures☆50Updated 2 years ago
- Collection of my assignments and work in the class MATH51 at Stanford☆101Updated 10 years ago
- This repository contains everything you need to become proficient in ML/AI Research and Research Papers☆595Updated last year
- Graph Machine Learning course, Xavier Bresson, 2023☆616Updated last year
- A Great Collection of Deep Learning (e)Books☆154Updated 10 months ago
- ML Companies Tier List and Interview Questions☆162Updated 3 months ago