📝[Docs]: Enhance Resources for Machine Learning Algorithms and Add Generative AI #1410
Description
Is there an existing issue for this?
- I have searched the existing issues
Issue Description
This issue suggests improvements to the documentation by adding essential Generative AI resources and filling in some missing libraries and tools. These updates will make the repository more comprehensive and valuable for the machine learning community.
Suggested Change
#Missing Courses:
While some ML resources are included, notable courses such as Andrew Ng's Machine Learning course on Coursera and other popular ML courses (like Generative AI, Transformers, GANs) are absent.
Add Generative AI Content:
Generative Adversarial Networks (GANs): Include resources for learning GANs.
Variational Autoencoders (VAEs): Add tutorials and implementation examples.
Transformers (GPT, BERT): Add resources covering transformers for NLP and generative tasks.
Diffusion Models: Include resources on diffusion models for image generation.
Missing Libraries:
Add SciPy for scientific computation.
Add OpenCV for image processing.
Rationale
Generative AI has gained enormous traction in machine learning, with applications in text generation, image creation, and more. Adding this content will ensure the repository is up-to-date with the latest trends in AI and ML. Including missing libraries like SciPy and OpenCV will also enrich the overall learning experience.
Additional Note:
If possible, please label this issue as GSSoC'24 and Hacktoberfest.
Urgency
Medium
Record
- I have read the Contributing Guidelines
- I'm a GSSOC'24 contributor
- I want to work on this issue