Visualize decision trees in Python

Next word prediction with RNNs.

Deep Learning for humans

This project is to create conversational chatbot using Sequence to sequence LSTM models. Sequence to sequence learning is about training models to convert from one domain to sequences another domai…

Cloning Starbucks Rewards Website using ReactJS and TailwindCSS.

스타벅스 웹사이트 클론 코딩

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

DevOps Roadmap for 2024. with learning resources

Get started using GitHub in less than an hour.

We propose a new method named Random encoding of Aggregated Deep Activation Maps (RADAM) for feature extraction from pre-trained Deep CNNs. The technique consists of encoding the output at differen…

💥 Customizable Angular UI Library based on Eva Design System 🌚✨Dark Mode

Fuente de datos: libro AYMARA ARUSKIPAWINAKA: Conversaciones en aimara, producido por Román Pairumani Ajacopa y Alejandra Bertha Carrasco Lima, Centro de Apoyo en Investigación y Educación Multidis…