andreiluca96

andreiluca96's Stars

• DataExpert-io/data-engineer-handbook

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

  Language:Jupyter Notebook23.8k4.2k

• antstackio/a2lrs

  All About Lambda Response Streaming

  Language:JavaScript5

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown319k29.6k

• amazon-science/RAGChecker

  RAGChecker: A Fine-grained Framework For Diagnosing RAG

  Language:Python66659

• alexcasalboni/aws-lambda-power-tuning

  AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.

  Language:JavaScript5.5k382

• getzep/zep

  Zep | The Memory Foundation For Your AI Stack

  Language:Go2.8k402

• paradedb/paradedb

  Postgres for Search and Analytics

  Language:Rust6.3k191

• myshell-ai/OpenVoice

  Instant voice cloning by MIT and MyShell.

  Language:Python30.2k3k

• dlt-hub/dlt

  data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

  Language:Python2.9k187

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  67.1k7k

• cdklabs/cdk-monitoring-constructs

  Easy-to-use CDK constructs for monitoring your AWS infrastructure

  Language:TypeScript49172

• cedar-policy/cedar

  Implementation of the Cedar Policy Language

  Language:Rust92782

• RamiKrispin/awesome-ds-setting

  A tutorial for setting a new machine with core data science tools

  26542

• rust-lang/rustlings

  :crab: Small exercises to get you used to reading and writing Rust code!

  Language:Rust55.3k10.3k

• iann0036/former2

  Generate CloudFormation / Terraform / Troposphere templates from your existing AWS resources.

  Language:JavaScript2.2k273

• open-policy-agent/opa

  Open Policy Agent (OPA) is an open source, general-purpose policy engine.

  Language:Go9.8k1.4k

• aws/sagemaker-experiments

  Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.

  Language:Python12735

• data-science-on-aws/data-science-on-aws

  AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

  Language:Jupyter Notebook3.4k1.1k

• aws/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).

  Language:Python4k700

• aws/graph-notebook

  Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.

  Language:Jupyter Notebook746170

• aws-samples/sagemaker-studio-image-build-cli

  CLI for building Docker images in SageMaker Studio using AWS CodeBuild.

  Language:Python5625

• Taaccoo/awesome-vqa-latest

  Visual Question Answering Paper List.

  Language:Python529

• jokieleung/awesome-visual-question-answering

  A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

  66095

• stellar/stellar-core

  Reference implementation for the peer-to-peer agent that manages the Stellar network.

  Language:C3.2k973

• iterative/dvc

  🦉 Data Versioning and ML Experiments

  Language:Python14k1.2k

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.7k1.9k

• boyney123/awstools

  Open source project to find libraries, tools and resources for your services.

  Language:CSS5932

• LuoweiZhou/VLP

  Vision-Language Pre-training for Image Captioning and Question Answering

  Language:Python41762

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.4k

• teddykoker/performer

  Simply Numpy implementation of the FAVOR+ attention mechanism, https://teddykoker.com/2020/11/performers/

  Language:Python374