Stars
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…
Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.
This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2023).
[IJCAI 2023] Black-box Prompt Tuning for Vision-Language Model as a Service
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
LeemSaebom / Attention-Guided-CAM-Visual-Explanations-of-Vision-Transformer-Guided-by-Self-Attention
The official code for Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
Render LaTeX and TikZ diagrams in your notes
Most common appearance solutions for Obsidian now in a single place. Initially collected by Klaas: https://forum.obsidian.md/t/how-to-achieve-css-code-snippets/8474
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
This is a repo with links to everything you'd ever want to learn about data engineering
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
A Toolbox for Adversarial Robustness Research
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
This repository contains demos I made with the Transformers library by HuggingFace.
A topic-centric list of HQ open datasets.
😎 Awesome lists about all kinds of interesting topics
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
All Algorithms implemented in Python