Sanjay Kumar PhD (skaiphd)

skaiphd

Geek Repo

Location:USA

Twitter:@skaiphd

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Sanjay Kumar PhD's repositories

amazon-bedrock-workshop

This is a workshop designed for Amazon Bedrock a foundational model service.

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architecture-center

Open Source documentation for the Azure Architecture Center on Microsoft Docs

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awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

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awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

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Awesome-LLMOps

An awesome & curated list of best LLMOps tools for developers

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Awesome-Top-Computer-Vision-Papers

A curated list of important published computer vision paper on a weekly basis

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azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

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coding-for-economists

This repository hosts the code behind the online book, Coding for Economists.

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data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

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delta

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

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demo-fraud

MLRun Fraud detection demo

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generative-ai-GOOGLE

Sample code and notebooks for Generative AI on Google Cloud

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langchain_examples

This repo consists of examples to use langchain

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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LLM-Finetuning

LLM Finetuning with peft

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LLM-Finetuning-Hub

Repository that contains LLM fine-tuning and deployment scripts along with our research findings.

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LLM-Prompt-Engineering-Simplified-Book

LLM Prompting Engineering Simplified Book

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ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

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mlops-v2

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

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shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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algorithms-and-data-structures1

Video descriptions and minimalist Python implementations of algorithms and data structures.

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