Ayush Chaurasia (AyushExel)

AyushExel

Geek Repo

Location:india

Home Page:https://www.youtube.com/c/AyushChaurasia

Twitter:@loldedxd

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ultralytics

Ayush Chaurasia's repositories

danswer

Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.

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fiftyone

The open-source tool for building high-quality datasets and computer vision models

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ImageBind

ImageBind One Embedding Space to Bind Them All

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lancedb

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

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LlamaIndexTS

LlamaIndex is a data framework for your LLM applications

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nn_plus_gzip

Gzip and nearest neighbors for text classification

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AutoChain

AutoChain: Build lightweight, extensible, and testable LLM Agents

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autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

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dataset-viewer

Lightweight web API for visualizing and exploring any dataset - computer vision, speech, text, and tabular - stored on the Hugging Face Hub

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datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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dspy

Stanford DSPy: The framework for programming with foundation models

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functime

Time-series machine learning and embeddings at scale.

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lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

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langchain

⚡ Building applications with LLMs through composability ⚡

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llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

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ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

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marvin

🧩 A lightweight AI engineering framework for building natural language interfaces that are reliable, scalable, and easy to trust.

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MemGPT

Teaching LLMs memory management for unbounded context 📚🦙

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MetaGPT

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

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packgen

testing a package generator

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phidata

Memory, knowledge and tools for LLMs

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prompttools

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

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R2R

A framework for fast development and deployment of production-ready RAG pipelines.

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ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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SuperAGI

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

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