KaloyanBorisov

KaloyanBorisov's Stars

• GoogleCloudPlatform/generative-ai

  Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

  Language:Jupyter Notebook8.8k2.4k

• kktsvetkov/bl00mb3rg.kaloyan.info

  Лесен начин да се гледа Bloomberg Live

  Language:HTML11

• elastic/elasticsearch-labs

  Notebooks & Example Apps for Search & AI Applications with Elasticsearch

  Language:Jupyter Notebook722183

• FlagOpen/FlagEmbedding

  Retrieval and Retrieval-augmented LLMs

  Language:Python8.1k592

• Snowflake-Labs/snowflake-demo-notebooks

  Collection of Snowflake Notebook demos, tutorials, and examples

  Language:Jupyter Notebook182130

• awsdocs/aws-doc-sdk-examples

  Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.

  Language:Java9.7k5.7k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook97.3k15.8k

• confluentinc/learn-dataflow-programming-with-flink-and-kafka

  Language:Java22

• confluentinc/demo-10x-storage

  Demonstrate the benefits of Confluent Infinite Storage with a Machine Learning Example

  Language:Python2

• openai/chatgpt-retrieval-plugin

  The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

  Language:Python21.1k3.7k

• mongodb-developer/GenAI-Showcase

  GenAI Cookbook

  Language:Jupyter Notebook727139

• brittonlaroche/Oracle-Confluent-MongoDB

  Migrate Oracle data to MongoDB with Confluent Cloud

  71

• brittonlaroche/Confluent-Kafka-Vector-Encoding

  Learn the first step in Retrieval-Augmented Generation (RAG), how to vector encode incoming data to insert and continuously update your vector database from enterprise data sources and systems.

  188

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.4k6.4k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.7k3.3k

• splunk/docker-splunk

  Splunk Docker GitHub Repository

  Language:Python475258

• gavinklfong/spring-test-container-demo

  Language:Java138

• wix/greyhound

  Greyhound - Rich Kafka client library

  Language:Scala51837

• Flink-zhisheng/flink-learning

  Language:Java15940

• rocksetlabs/realtime-semantic-search

  Code for Confluent and Rockset webinar showing how to leverage real time data with vector search

  Language:Python3

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10.2k6.8k

• graalvm/workshops

  A collection of workshops and live labs about GraalVM

  Language:Java2810

• graalvm/graalvm-demos

  This repository contains example applications to illustrate the different capabilities of GraalVM

  Language:Java597157

• jonashackt/spring-boot-graalvm

  This example project shows how to compile a Webflux based Spring Boot application into a Native App using GraalVM Native Image locally & on GitHub Actions with & without Docker

  Language:Java23652

• confluentinc/realtime-sentiment-analysis

  Language:Python2

• quarkusio/quarkus-quickstarts

  Quarkus quickstart code

  Language:Java2k1.5k

• provectus/kafka-ui

  Open-Source Web UI for Apache Kafka Management

  Language:Java10.1k1.2k

• dttung2905/kafka-in-production

  :books: Tech blogs & talks by companies that run Kafka in production

  90871

• attakercyebr/Facebook-Data-Leak

  👊🏾 In April 2021, a huge collection of personal data containing more than 500 million users was released online. 👎🏿 The biggest threat, if your information is leaked, is phishing and personal harassment. 🔖 This free information is at your disposal. ⛔️ Its sale is prohibited by other groups and channels. 🧨 Uploading 15 GB of Facebook information. ❌ All information is compressed. 😎 The initial volume without compression is equal to 150 GB. 🤪 The first complete and flawless database in Telegram. 👻 Wait for free download

  19423

• aws/studio-lab-examples

  Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

  Language:Jupyter Notebook669196