ainaomotayo Goto Github PK

drawio

Source to app.diagrams.net

edureka-data-science-with-python

edurekapythondatasciencecertification2019

Code from Edureka Python Data Science Summer 2019

examples

Example code on running Confluent Platform

excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

fastapi-oai-showcase

Minimal API Server (🚧Work in progress). All features are not necessary to demo. Just minimum to work.

flink-tutorials

free-programming-books

:books: Freely available programming books

generative-ai

Sample code and notebooks for Generative AI on Google Cloud

geoplotlib

python toolbox for visualizing geographical data and making maps

hadoop-multi-server-ansible

Multi-server deployment of Hadoop using Ansible

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

kibana

:bar_chart: Kibana analytics and search dashboard for Elasticsearch

kibana-elassandra

Kibana on Steroids w/ Plugins and Apps, optimized for Elassandra 5.5.0 :muscle:

kibana-own-home

Multi-tenancy for Kibana

kibana-reporting

Reporting feature on X-Pack helps you Generate, Schedule & Email Reports but this don't come free with you Kibana package, you have to buy X-Pack to get this great feature. The unfortunate thing there is feature is not as great as the one provide by skledler but is also not free. But this is a code I have written to do this for free and save your company thousands of dollars if not millions in a year in the name of automating reports to stakeholders in your organization.

kibana-time-plugin

Kibana visualization that provides controls for setting and animating time ranges.

kobman

KOBman Repo Placeholder

langchain-ask-pdf

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

learn.py-s19

Resources for ACM Hack's Learn.py

learn_computer_science_in_5_months

This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube

learn_data_science_in_3_months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

learning-react

learning react

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

llama_index

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

llmops-promptflow-template

LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

lmstudio

Client code examples & integrations that utilize LM Studio's local inference server