Pinned Repositories
awesome-gcp-certifications
A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.
Data-Science--Cheat-Sheet
Cheat Sheets
flink-storm-example
Testing Flink Storm with Examples
homemade-machine-learning
š¤ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
incubator-parquet-mr
Mirror of Apache Parquet
json-wikipedia-dbspotlight
Json Wikipedia, contains code to convert the Wikipedia xml dump into a json dump
kubeflow
Machine Learning Toolkit for Kubernetes
metacat
mlcourse.ai
Open Machine Learning Course
mlrefined
Jupyter notebooks, Python and MATLAB code examples, and demos from the textbook "Machine Learning Refined" (Cambridge University Press). See our blog https://jermwatt.github.io/mlrefined/index.html for interactive versions of many of the notebooks in this repo.
nmadhire's Repositories
nmadhire/agent-service-toolkit
Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit
nmadhire/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
nmadhire/amazon-sagemaker-mlops-workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
nmadhire/amazon-sagemaker-operator-for-k8s
Amazon SageMaker operator for Kubernetes
nmadhire/amazon-sagemaker-safe-deployment-pipeline
Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
nmadhire/amazon-sagemaker-script-mode
Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)
nmadhire/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
nmadhire/aws-eks-best-practices
A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.
nmadhire/Building-Generative-AI-Apps
Two sample projects built for the FourthBrain Generative AI Workshop
nmadhire/Building-with-Instruction-Tuned-LLMs-A-Step-by-Step-Guide
Resources relating to the DLAI event: https://www.youtube.com/watch?v=eTieetk2dSw
nmadhire/Curated-List-of-Generative-AI-Tools
This repo contains the curated list of tools for generative AI
nmadhire/dspy
DSPy: The framework for programmingānot promptingāfoundation models
nmadhire/fourthbrain_building_with_llms
nmadhire/learn-retrieval-augmented-generation
Examples and demos on how to use Retrieval Augmented Generation with Large Language Models
nmadhire/llama-stack
Model components of the Llama Stack APIs
nmadhire/llamafile
Distribute and run LLMs with a single file.
nmadhire/mine
nmadhire/ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
nmadhire/myagents
all in agents
nmadhire/nd009t-c1-intro-to-ml-project-starter
Starter Code for the Course 1 project of the Udacity Machine Learning Engineer Nanodegree Program
nmadhire/nd009t-c1-intro-to-ml-templates
nmadhire/nmadhire-blog
Blog backup
nmadhire/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
nmadhire/sagemaker-inference-toolkit
Serve machine learning models within a š³ Docker container using š§ Amazon SageMaker.
nmadhire/sagemaker-scikit-learn-container
Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)
nmadhire/sagemaker-training-toolkit
Train machine learning models within a š³ Docker container using š§ Amazon SageMaker.
nmadhire/test
nmadhire/udacity-projects
Collection of Projects I implemented during Udacity Nanodegrees and Challenges I applied to
nmadhire/uv-validation
nmadhire/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs