https://github.com/venkataravuri/ai-ml-notes

A collection of AI/ML articles, guides and projects.
https://github.com/venkataravuri/ai-ml-notes

artificial-intelligence deep-learning generative-ai large-language-models machine-learning neural-networks pytorch scikit-learn

Last synced: about 2 months ago
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A collection of AI/ML articles, guides and projects.

• Host: GitHub
• URL: https://github.com/venkataravuri/ai-ml-notes
• Owner: venkataravuri
• Created: 2019-09-28T14:12:12.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-04-12T04:52:46.000Z (5 months ago)
• Last Synced: 2024-05-21T20:09:34.580Z (4 months ago)
• Topics: artificial-intelligence, deep-learning, generative-ai, large-language-models, machine-learning, neural-networks, pytorch, scikit-learn
• Homepage:
• Size: 4.67 MB
• Stars: 23
• Watchers: 1
• Forks: 17
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# 🤖 Artificial Intelligence & Machine Learning 🧠

> "_A.I. might not replace you, but a person who uses A.I. could._"

A curated list of awesome AI & ML :orange_book: tutorials, :page_with_curl: articles, :tv: videos and jupyter notebooks.

## AI in Real-world

- [Real-world usage of AI/ML](docs/ai-in-real-world.md)

## Generative AI & LLMs

- [Overview & Concepts](docs/gen-ai/generative-ai.md)

- [Prompt Engineering Guide](docs/gen-ai/prompt-engineering-resources.md)

- [LLMs Architecture](docs/gen-ai/finetune-llms.md)

- [LLMs Benchmarking & Evaluation](docs/gen-ai/evaluation-metrics.md)

- [LLM-powered Autonomus AI Agents](docs/gen-ai/llm-powered-autonomous-ai-agents.md)

- [Fine-tune LLMs](docs/gen-ai/finetune-llms.md)

 

## Basics - Algebra & Statistics

- [Algebra](docs/stats/algebra.md)

- [Statistics & Probability](docs/stats/probability.md)

## Machine Learning

- [Concepts](docs/ml/ml-concepts.md)

- Traditional ML Models

  - [Linear regression](docs/ml/ml-algorithms.md)

  - [Logistic regression](docs/ml/ml-algorithms.md)

  - [k-nearest neighbors](docs/ml/ml-algorithms.md)

  - [Support vector machines](docs/ml/ml-algorithms.md)

  - [Naïve bayes](docs/ml/ml-algorithms.md)

  - [k-means](docs/ml/ml-algorithms.md)

  - [Random Forest](docs/ml/ml-algorithms.md)

- [NLP](https://github.com/venkataravuri/awesome-tech-articles-blogs/blob/master/topics/architecture-design/search.md)

  - [Lexical/Keyword Search](https://github.com/venkataravuri/awesome-tech-articles-blogs/blob/master/topics/architecture-design/search.md)

  - [Semantic/Vector Search](https://github.com/venkataravuri/awesome-tech-articles-blogs/blob/master/topics/architecture-design/search.md)

      - [Vector Search Indexes](docs/vector-search-index.md)

      - [Vector DBs](https://github.com/venkataravuri/ai-ml-models/blob/main/5-vector-db/Readme.md)

  

## Neural Networks

- [Concepts](docs/nn/nn-deeplearning.md)

- [Convolutional Neural Networks](docs/nn/cnn.md)

- [GAN](docs/nn/)

- [Diffusion](docs/nn/)

## Multimodality (Text + Image + Audio)

- [Mulitmodality](docs/multimodality/multimodality.md)

  

## AI/ML - Interview Notes

- [ML Concepts](docs/interview-notes/interview-notes.md)

- [ML Models](docs/interview-notes/models.md)

- [Neural Netowrks](docs/interview-notes/nn-notes.md)

  - [CNN](docs/interview-notes/cnn-interview-notes.md)

- [ML System Design](docs/interview-notes/system-design.md)

- [MLOps](docs/interview-notes/mlops.md)