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Starred repositories
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Nerdlog: fast, remote-first, multi-host TUI log viewer with timeline histogram and no central server
A community maintained list of flow examples built with Motia
This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
[NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models
Image Processing techniques using OpenCV and Python.
Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
[ICLR 2024 Spotlight] DreamLLM: Synergistic Multimodal Comprehension and Creation
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013
AI PC starter app for doing AI image creation, image stylizing, and chatbot on a PC powered by an Intel® Arc™ GPU.
PA-SAM: Prompt Adapter SAM for High-quality Image Segmentation
The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
Run Generative AI models with simple C++/Python API and using OpenVINO Runtime
Collection of my Google I/O Extended speaking sessions
AdalFlow: The library to build & auto-optimize LLM applications.
[CVPR 2022] ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
🌮 Trash Annotations in Context Dataset Toolkit
A curated list of OpenVINO based AI projects
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, feature-set, and model's algo…
Open weights language model from Google DeepMind, based on Griffin.