Yogesh Joshi's Projects
Take the loftr inference pipeline from kornia and dockerize and make it ready for deployment. https://kornia.readthedocs.io/en/latest/_modules/kornia/feature/loftr/loftr.html The api created should take two images for matching and return a path to an output image that visualizes matching done on both the images side by side.
autoAnnoter its a tool to auto annotate data using a exisiting models
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.
Sundog AWS machine learning Course content and Slides
🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼
Solutiion For Your Problems
In this course you'll learn to use Gradio to create user-friendly apps with minimal code: Summarize text using a large language model, generate image captions, and chat with an open source LLM. Gain practical knowledge to build interactive demos faster.
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
A powerful and modular stable diffusion GUI with a graph/nodes interface.
Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps.
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Notes for courses by deeplearning.ai
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
Data Science
Document Retriever Using Langchain + Pinecone
fastapi vite react electron app
Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.
Using falcon-7b-instruct creating a sample notebook for fewshot learning
Free, open source crypto trading bot
Specify what you want it to build, the AI asks for clarification, and then builds it.
helper_functions for Pytorch and Tensorflow
Udemy- Langchain Tutorial
The additional teaching materials for the Data Science Course at IU Berlin.
Building Multi-data models and workflows using Vector DB plus langchain on top.
Part of Gen AI 360: Foundational Model Certification Course
Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.