violivei

violivei's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python271k6.5k32045.8k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  44.7k2.4k010.5k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python17.5k1437441.3k

• HumanAIGC/AnimateAnyone

  Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

  14.4k66892968

• AkashSingh3031/The-Complete-FAANG-Preparation

  This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

  Language:Jupyter Notebook10.7k169412.4k

• explodinggradients/ragas

  Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

  Language:Python6.8k36744667

• Codium-ai/cover-agent

  CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞

  Language:Python4.2k2867300

• Arize-ai/phoenix

  AI Observability & Evaluation

  Language:Jupyter Notebook3.5k292.3k264

• confident-ai/deepeval

  The LLM Evaluation Framework

  Language:Python3.1k19247243

• awslabs/aws-well-architected-labs

  Hands on labs and code to help you learn, measure, and build using architectural best practices.

  Language:Python2k11401.1k

• S-LoRA/S-LoRA

  S-LoRA: Serving Thousands of Concurrent LoRA Adapters

  Language:Python1.7k243991

• aws-samples/claude-prompt-generator

  Language:Python1k480104

• punica-ai/punica

  Serving multiple LoRA finetuned LLM as one

  Language:Python962123945

• aws-samples/bedrock-claude-chat

  AWS-native chatbot using Bedrock + Claude (+Mistral)

  Language:TypeScript82822250304

• cdklabs/cdk-nag

  Check CDK applications for best practices using a combination of available rule packs

  Language:TypeScript8062139657

• peterlamar/python-cp-cheatsheet

  Python3 interview prep cheatsheet and examples

  Language:Python67860141

• awslabs/diagram-as-code

  Diagram-as-code for AWS architecture.

  Language:Go497103831

• amazon-science/RAGChecker

  RAGChecker: A Fine-grained Framework For Diagnosing RAG

  Language:Python41061334

• aws-solutions/distributed-load-testing-on-aws

  Distributed Load Testing on AWS

  Language:JavaScript33632151121

• awslabs/generative-ai-cdk-constructs

  AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

  Language:TypeScript3331314151

• amazon-science/RefChecker

  RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

  Language:Python281101224

• aws-samples/generative-ai-amazon-bedrock-langchain-agent-example

  Language:Python216228384

• aws/fmeval

  Foundation Model Evaluations Library

  Language:Python18792242

• aws-samples/foundation-model-benchmarking-tool

  Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.

  Language:Jupyter Notebook18285027

• aws-solutions/generative-ai-application-builder-on-aws

  Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.

  Language:TypeScript154222854

• aws-samples/multi-tenant-chatbot-using-rag-with-amazon-bedrock

  Language:Shell752217

• jenkspt/gpt-jax

  Jax/Flax rewrite of Karpathy's nanoGPT

  Language:Python46345

• aws-samples/generative-ai-applications-foundational-architecture

  Language:Python24111

• aws-samples/cross-account-gitlab-pipeline

  Language:TypeScript4301

• aws-samples/convert-gpt-text-prompts-to-amazon-bedrock-llm-prompts

  How to convert GPT text prompts to text prompts for Large Language Models (LLMs) on Amazon Bedrock.

  Language:Jupyter Notebook3101