Showing 1441-1460 of 1,591 projects
SincNet is a neural architecture for efficiently processing raw audio samples for speech and audio processing tasks.
TrustRAG is a Python framework for building reliable and trusted Retrieval Augmented Generation (RAG) models.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution.
A Python library for reconstructing watertight meshes from point clouds using deep learning.
A Scala-based hardware accelerator for deep neural networks, part of Berkeley's AI hardware research.
This Jupyter Notebook repository likely contains educational content or examples related to deep learning and AI models.
A library for keyword spotting on Arm Cortex-M microcontrollers using machine learning and the CMSIS-NN framework.
A curated list of resources for relation extraction, a key NLP task, useful for vibe coders.
A collection of notebooks for learning various meta-learning techniques like MAML, Reptile, and One-Shot Learning.
AdvancedEAST is an algorithm for accurate scene text detection, with improvements over the EAST algorithm.
A collection of papers, repositories, and data related to anime and manga research, primarily focused on deep learning and machine learning.
This repository provides deep learning algorithm source code for beginners to learn and practice.
A real-time emotion recognition library using computer vision and deep learning.
A JavaScript library that provides GPU-accelerated deep learning and neural network capabilities similar to PyTorch.
A collection of deep learning architecture genealogy and visualization for AI developers.
An AI-powered web app and API that analyzes basketball shots and shooting poses.
This repository contains the code for the book 'Deep Learning from Scratch 2' focused on building deep learning models from scratch in Python.
A library for few-shot learning using prototypical networks, based on a NeurIPS 2017 paper.
Lab materials for a course on building end-to-end deep learning applications
GCNet is a deep learning library for computer vision tasks like instance segmentation and object detection.
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