Veenit Ankam (vineet79ankam)

vineet79ankam

Geek Repo

Company:Vodafone

Location:Pune

Github PK Tool:Github PK Tool

Veenit Ankam's repositories

Awesome-LLMOps

An awesome & curated list of best LLMOps tools for developers

License:CC0-1.0Stargazers:0Issues:0Issues:0

hands-on-llms

๐Ÿฆ– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป about ๐—Ÿ๐—Ÿ๐— ๐˜€, ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€, and ๐˜ƒ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ ๐——๐—•๐˜€ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + ๐˜ท๐˜ช๐˜ฅ๐˜ฆ๐˜ฐ & ๐˜ณ๐˜ฆ๐˜ข๐˜ฅ๐˜ช๐˜ฏ๐˜จ ๐˜ฎ๐˜ข๐˜ต๐˜ฆ๐˜ณ๐˜ช๐˜ข๐˜ญ๐˜ด

License:MITStargazers:0Issues:0Issues:0

production-ml

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

License:MITStargazers:0Issues:0Issues:0

awesome-mlops

A curated list of references for MLOps

Stargazers:0Issues:0Issues:0

llm-course

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

License:Apache-2.0Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

Efficient-Python-for-Data-Scientists

Writing clean and optimized Python code

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Stargazers:0Issues:0Issues:0

aws-deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

License:NOASSERTIONStargazers:0Issues:0Issues:0

amazon-sagemaker-examples

Example ๐Ÿ““ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐Ÿง  Amazon SageMaker.

License:Apache-2.0Stargazers:0Issues:0Issues:0

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

License:Apache-2.0Stargazers:0Issues:0Issues:0

aws-eks-best-practices

A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.

License:NOASSERTIONStargazers:0Issues:0Issues:0

aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

License:Apache-2.0Stargazers:0Issues:0Issues:0

sagemaker-pytorch-inference-toolkit

Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

License:Apache-2.0Stargazers:0Issues:0Issues:0

aws-lambda-builders

Python library to compile, build & package AWS Lambda functions for several runtimes & framework

License:Apache-2.0Stargazers:0Issues:0Issues:0

sagemaker-training-toolkit

Train machine learning models within a ๐Ÿณ Docker container using ๐Ÿง  Amazon SageMaker.

License:Apache-2.0Stargazers:0Issues:0Issues:0

elastic-load-balancing-tools

AWS Elastic Load Balancing Tools

License:Apache-2.0Stargazers:0Issues:0Issues:0

amazon-ecs-agent

Amazon Elastic Container Service Agent

License:Apache-2.0Stargazers:0Issues:0Issues:0

aws-k8s-tester

AWS Kubernetes tester, kubetest2 deployer implementation

License:Apache-2.0Stargazers:0Issues:0Issues:0

Leetcode_python

๐ŸŽ“Leetcode solutions in Python ๐Ÿ“š

Stargazers:0Issues:0Issues:0

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

ML-Course-Notes

๐ŸŽ“ Sharing course notes on all topics related to machine learning, NLP, and AI.

License:CC0-1.0Stargazers:0Issues:0Issues:0

ML-Notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

Stargazers:0Issues:0Issues:0

Python_Computer_Vision_from_Scratch

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

License:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

Andrew-NG-Notes_

This is Andrew NG Coursera Handwritten Notes.

Stargazers:0Issues:0Issues:0