Deep Learning
Showing 36 of 937 projects
A curated list of the best production-ready Hugging Face models for NLP, vision, audio, and multimodal tasks.
MXNet bindings for the Crystal programming language, enabling deep learning and machine learning development.
A curated list of academic resources, datasets, and implementations for image harmonization research.
An OCaml implementation of Mask R-CNN for object detection, segmentation, and classification using the Owl numerical library.
A Caffe-based implementation of the LaMem model for scoring image memorability using convolutional neural networks.
An embedded deep learning library for Go designed for educational exploration of neural network fundamentals.
TensorFlow implementation of a generative adversarial network for video generation with scene dynamics.
A bilateral awareness network combining transformers and convolutions for semantic segmentation of very fine resolution urban scene images.
A deep learning model for image classification that identifies 1000 object classes using the ResNet-50 architecture.
A beginner's guide to choosing and building computer hardware specialized for deep learning tasks.
A high-level TensorFlow framework that reduces boilerplate code and adds advanced features for deep learning applications.
A Torch-like deep learning framework for JavaScript with direct tensor and autograd operations.
A minimal JAX/Flax implementation of DETR with optimizations like Flash Attention and Sinkhorn solver.
Terraform templates for deploying IBM Maximo Visual Inspection Edge on IBM Cloud.
A TensorFlow implementation of Dynamic Capacity Networks, which reduces computations by applying high-capacity networks to selected input patches.
A Rust crate providing embeddings and positional encoding implementations for NLP and Transformer-based models.
A JavaScript-native machine learning framework with PyTorch-aligned APIs, built from scratch on WebGPU for dynamic graph execution and model interpretability.
A MATLAB-based deep learning platform for automated cell division tracking and replicative lifespan analysis from microscopy image sequences.
A Go library for building and training deep neural networks, powered by MXNet.
A deep learning model that predicts drug response by fusing multi-omics data with graph convolutional networks.
A JavaScript neural network example that learns to predict whether a beer glass is half full or half empty based on user decisions.
A JavaScript neural network example that learns to predict angles between two points using synaptic.js.
Segment Anything in Light and Electron Microscopy via membrane guidance for biomedical image analysis.
A JAX/Flax implementation of the RAFT optical flow estimator with ported checkpoints and reproducible results.
A collection of plug-and-play TensorFlow/Keras deep learning models and architectures for easy integration.
A curated list of resources for the Neuraxle machine learning framework, including examples, articles, courses, and community links.
A Ruby library for designing, processing, and training artificial neural networks.
A deep learning model for predicting cancer drug response using data enhancement and edge-collaborative update strategies.
A Python machine learning library with CPU and GPU support for tensor operations and model development.
A deep learning model that identifies and segments nuclei in microscopy images using Mask R-CNN.
A general-purpose U-Net implementation in Keras for image segmentation tasks.
A neural networks library for Clojure with support for custom activation functions, serialization, and data preprocessing.
A tool for panoptic segmentation of organelles in 2D and 3D electron microscopy images using deep learning.
A PyTorch library providing datasets, transformations, and pretrained models for biological cellular systems.
A PyTorch library providing datasets, transformations, and pretrained models for biological cellular systems.
A GNN-based deep learning model that performs drug-specific gene selection for improved drug response prediction.
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