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Mohd Kaif's Projects

ab-testing icon ab-testing

Awesome List of resources on Agile Software Development.

agri-llama icon agri-llama

Introducing an advanced RAG-based Question Answering System for Agriculture, seamlessly combining Llama-2 FAISS and Hugging Face's dataset for efficient and precise domain-specific responses.

ai-notes icon ai-notes

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

amazing-feature-engineering icon amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

argilla icon argilla

✨ Argilla: Open-source platform to build better language models through human feedback

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-dl4nlp icon awesome-dl4nlp

A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources

awesome-edaforml icon awesome-edaforml

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-edge icon awesome-edge

A curated list of high quality, relevant and up-to-date Edge Computing Frameworks and Libraries with a heavy focus on IoT based Data Engineering.

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-meta-learning icon awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

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