Pinned Repositories
almostmagic
Add AI 🪄 to your app with one line of code
automix
Mixing Language Models with Self-Verification
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.
infiniteGPT
InfiniteGPT is a Python script that lets you input an unlimited size text into the OpenAI API. No more tedious copy & pasting. Long live multithreading!
infra
Infrastructure powering E2B - Cloud Runtime for AI Agents
pandas-ai
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
Prompt-Engineering-Guide
:octopus: Guides, papers, and resources for prompt engineering
unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Davipar's Repositories
Davipar/almostmagic
Add AI 🪄 to your app with one line of code
Davipar/automix
Mixing Language Models with Self-Verification
Davipar/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.
Davipar/infiniteGPT
InfiniteGPT is a Python script that lets you input an unlimited size text into the OpenAI API. No more tedious copy & pasting. Long live multithreading!
Davipar/infra
Infrastructure powering E2B - Cloud Runtime for AI Agents
Davipar/pandas-ai
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
Davipar/Prompt-Engineering-Guide
:octopus: Guides, papers, and resources for prompt engineering
Davipar/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.