konradsemsch

konradsemsch's Stars

• Netflix/metaflow

  :rocket: Build and manage real-life ML, AI, and data science projects with ease!

  Language:Python7.8k738

• hiyouga/LLaMA-Factory

  A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python25.8k3.2k

• vaexio/vaex

  Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

  Language:Python8.2k590

• amazon-science/chronos-forecasting

  Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

  Language:Python2.1k243

• SkalskiP/awesome-foundation-and-multimodal-models

  👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

  Language:Python54041

• RamVegiraju/SageMaker-Deployment

  Compilation of examples of SageMaker inference options and other features.

  Language:Jupyter Notebook6730

• awslabs/data-solutions-framework-on-aws

  An open-source framework that simplifies implementation of data solutions.

  Language:TypeScript10514

• amazon-science/CodeSage

  CodeSage: Code Representation Learning At Scale (ICLR 2024)

  Language:Python723

• aws/aws-cdk

  The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

  Language:TypeScript11.4k3.8k

• aws-samples/amazon-sagemaker-local-mode

  Amazon SageMaker Local Mode Examples

  Language:Python23659

• explodinggradients/ragas

  Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

  Language:Python5.7k528

• aws-samples/aws-genai-llm-chatbot

  A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

  Language:TypeScript971286

• huggingface/text-generation-inference

  Large Language Model Text Generation Inference

  Language:Python8.3k944

• predibase/lorax

  Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

  Language:Python1.9k125

• run-llama/rags

  Build ChatGPT over your data, all with natural language

  Language:Python6.1k615

• Sinaptik-AI/pandas-ai

  Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

  Language:Python11.8k1.1k

• togethercomputer/OpenChatKit

  Language:Python9k1k

• EleutherAI/the-pile

  Language:Python1.4k122

• NVIDIA/FasterTransformer

  Transformer related optimization, including BERT, GPT

  Language:C++5.6k877

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.2k2.1k

• rapidsai/cudf

  cuDF - GPU DataFrame Library

  Language:C++8k870

• deepset-ai/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.

  Language:Python14.5k1.7k

• langchain-ai/web-explorer

  Language:Python35682

• pchunduri6/rag-demystified

  An LLM-powered advanced RAG pipeline built from scratch

  Language:Python75646

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python64.2k7.5k

• ray-project/llm-applications

  A comprehensive guide to building RAG-based LLM applications for production.

  Language:Jupyter Notebook1.6k205

• run-llama/chat-llamaindex

  Language:TypeScript764246

• langchain-ai/auto-evaluator

  Language:TypeScript72694

• aws-samples/amazon-bedrock-workshop

  This is a workshop designed for Amazon Bedrock a foundational model service.

  Language:Jupyter Notebook1.3k540

• ollama/ollama

  Get up and running with Llama 3, Mistral, Gemma 2, and other large language models.

  Language:Go77.2k5.8k