ML University

Machine Learning Open Source University is an IDEA of free-learning of a ML enthusiast for all other ML enthusiast

This list is continuously updated - And if you are a Ml practitioner and have some good suggestions to improve this or have somegood resources to share, you create pull request and contribute.

Table of Contents

1. Getting Started
2. Mathematics
3. Machine Learning
4. Deep Learning
5. Natural language processing
6. Reinforcement learning
7. LLM
8. Books
9. ML in Production
10. Quantum ML
11. DataSets
12. Other Useful Websites
13. Other Useful GitRrpo
14. Blogs and Webinar
15. Must Read Research Paper
16. Company Tech Blogs
17. Practice Machine Learning

Getting Started

Mathematics

Machine Learning

Deep Learning

Natural language processing

Reinforcement learning

Large Language Model

Books

ML in Production

Quantum ML

DataSets

Other Useful Websites

1. Papers with Code
2. Two Minute Papers - Youtube
3. The Missing Semester of Your CS Education
4. Workera : Measure data-AI skills
5. Machine learning mastery
6. From Data to viz: Guide for your graph
7. datatalks club
8. Machine Learning for Art
9. applyingml
10. Deep Learning Drizzle
11. The Machine & Deep Learning Compendium
12. connectedpapers - Research Papers
13. Papers and Latest Research - deepai
14. Tracking Progress in NLP
15. NLP Blogs by Sebastian Ruder
16. labmlai for papers

Other Useful GitRepo

1. Applied-ml - Papers and blogs by organizations
2. List Machine learning Python libraries
3. ML From Scratch - Implementations of models/algorithms
4. What the f*ck Python?
5. scikit-learn user guide: step-step approach
6. NLP Tutorial Code with DL
7. awesome-mlops
8. Text Classification Algorithms: A Survey
9. ML use cases by company

Blogs and Webinar

1. Recommendation algorithms and System design
2. Machine Learning System Design

Must Read Research Paper & WebBooks

NLP [Text]

1. Text Classification Algorithms: A Survey
2. Deep Learning Based Text Classification: A Comprehensive Review
3. Compression of Deep Learning Models for Text: A Survey
4. A Survey on Text Classification: From Shallow to Deep Learning
5. A Survey of Transformers
6. AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
7. Graph Neural Networks for Natural Language Processing: A Survey
8. A Survey of Data Augmentation Approaches for NLP
9. A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
10. Evaluation of Text Generation: A Survey
11. A Survey of Transfer learning In NLP
12. A Systematic Survey of Prompting Methods in NLP

OCR [Optical Character Recognition]

1. Survey of Post-OCR Processing Approaches

LLM (Large Language Models)

1. Foundations of Large Language Models
2. On the Biology of a Large Language Model : Anthropic
3. Vision-Language Models
4. LLM Inference Handbook
5. Inside vLLM: LLM Inference System
6. MCP : Model Context Protocol
7. In-Context Learning

Tech Blogs

Company

1. AssemblyAI
2. Grammarly
3. Huggingface
4. Uber
5. Netflix
6. Spotify Research | Engineering
7. Unsloth Blog
8. Thinking Machines

Researcher and Engineers

1. TRANSFORMER EXPLAINER
2. lilianweng
3. Interconnects
4. Ahead of AI by Sebastian Raschka
5. AI by Hand
6. Lil'BLog

Practice Machine Learning

1. deep-ml
2. tensortonic
3. tensorgym
4. leetgpu