Akshay-Dongare

Akshay-Dongare's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k1.5k2.8k44.4k

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go98.1k5854.9k7.8k

• zylon-ai/private-gpt

  Interact with your documents using the power of GPT, 100% privately, no data leaks

  Language:Python54.2k4561.2k7.3k

• open-webui/open-webui

  User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  Language:Svelte47k2312.7k5.7k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.5k4254.2k6.4k

• Mintplex-Labs/anything-llm

  The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.

  Language:JavaScript27.2k2141.7k2.7k

• OpenBMB/ChatDev

  Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

  Language:Shell25.6k3112623.2k

• danielmiessler/fabric

  fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

  Language:Go25.3k3275182.7k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.2k1614341.8k

• yoheinakajima/babyagi

  Language:Python20.4k3011512.7k

• assafelovic/gpt-researcher

  LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.

  Language:Python14.9k1223762k

• Chainlit/chainlit

  Build Conversational AI in minutes ⚡️

  Language:Python7.2k54844945

• camel-ai/camel

  🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

  Language:Python5.6k67500686

• OpenBMB/AgentVerse

  🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

  Language:JavaScript4.2k6479407

• agiresearch/AIOS

  AIOS: LLM Agent Operating System

  Language:Python3.4k5145409

• hwchase17/langchain-hub

  Language:Python3.3k7132266

• brevdev/notebooks

  Collection of notebook guides created by the Brev.dev team!

  Language:Jupyter Notebook1.7k2618288

• facebookresearch/fairseq2

  FAIR Sequence Modeling Toolkit 2

  Language:Python7001810683

• PradipNichite/Youtube-Tutorials

  Language:Jupyter Notebook397147311

• OSU-NLP-Group/TravelPlanner

  [ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"

  Language:Python24692732

• databricks-academy/llm-foundation-models

  Language:Python22585132

• menloparklab/falcon-langchain

  Falcon LLM with Chat UI using LangChain and Chainlit

  Language:Jupyter Notebook17031107

• paulovcmedeiros/pyRobBot

  Chat with GPT LLMs over voice, UI & terminal, all with access to the internet. Powered by OpenAI.

  Language:Python1141770

• atharvabhide/SPPU-COMP-2019-PRACTICALS

  This repository contains all the practical assignments which I have done as part of my coursework.

  Language:Jupyter Notebook732215

• SkalskiP/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python552031

• ollama-webui/ollama-modelfiles

  Ollama Modelfiles - Discover more at OllamaHub

  19201

• ChaitraliPalasdeokar/HPC

  All lab codes for HPC ( SPPU BE Computer 2015)

  Language:C++3201

• VikramDesai/langchain-llama_index-chainlit-LLMagent-chatbots

  How to use Langchain to unlock the potential capability of language models like gpt-3.5-turbo or gpt-4 by demonstrating chatbot development that thrives on internet data

  Language:Python320

• BobbyTables2/Signature-Verification_System_using_YOLOv5-and-CycleGAN

  An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch

  Language:Jupyter Notebook1

• swaralilawate/mnist_fashion

  Language:Python1