Deep Learning
Showing 36 of 937 projects
A framework for automated cryptographic primitive classification using dynamic binary instrumentation and deep learning.
A simple, easy-to-understand library for diffusion models built with Flax and JAX, focusing on readability and learning.
An attentive bilateral contextual network for efficient semantic segmentation of fine-resolution remote sensing images.
An open-source machine learning solution for the Santander Value Prediction Challenge on Kaggle.
A collection of classical machine learning models implemented with TensorFlow 2 and Keras, featuring TensorBoard visualizations.
A JavaScript/TypeScript library for accelerated tensor computation and ONNX model execution in the browser.
A Python library for building and training feedforward neural networks with GPU support and mini-batch learning.
A collection of easy-to-use machine learning datasets for Torch7 with built-in preprocessing and sampling utilities.
A curated list of awesome Keras projects, libraries, and resources for deep learning.
A TensorFlow/TensorLayer implementation of Spatial Transformer Networks for learning image transformations like scaling, cropping, and rotation.
A Python library for integrating multiomic single-cell data using product-of-experts variational autoencoders.
A TensorFlow wrapper for the D programming language, providing C API bindings and integration with Mir for numerical computing.
A foundation model-driven method for semantic cell classification in whole slide images, extending Cellpose with a WSI workflow and QuPath integration.
A Python package for 3D single-cell shape analysis using geometric deep learning on point clouds and voxels.
An open-source image processing tool for histological image preprocessing and augmentation to improve deep learning model development.
A TensorFlow-based image segmentation model that assigns each pixel in an image to one of 21 object classes from the PASCAL VOC dataset.
A curated collection of resources, papers, and implementations for training Generative Adversarial Networks (GANs).
A V programming language module for creating and training multi-layer neural networks with backpropagation.
A graphical interface for segmenting yeast cells in microscopy images using convolutional neural networks.
A Python package that integrates an LLM copilot into Keras model development to provide performance improvement suggestions.
A German ELMo deep contextualized word representation model trained on a specialized German Wikipedia text corpus for NLP tasks.
A pre-trained deep learning model for image classification that identifies 1000 object classes using the Inception-ResNet-v2 architecture.
A ROS2 wrapper for the Movidius Neural Compute Stick (NCS) providing object classification and detection services for images and video streams.
A personal learning repository for implementing neural networks and machine learning models using Torch in Lua.
A TensorFlow-based GAN model that automatically adds color to black and white images.
A Go library using Cgo for blazing fast inference of CatBoost gradient boosting models.
Profile TensorFlow Lite and OpenCV DNN models on Android devices with performance metrics and delegate options.
A deep learning model that detects mitosis in breast cancer tumor cell images to assist in tumor proliferation scoring.
A tutorial on building and training a convolutional neural network for MNIST image classification using Flax Linen and Optax.
A deep learning model that classifies sports videos into 487 different sports activities using a 3D convolutional neural network.
Generates synthetic phase contrast or fluorescence microscope images of bacteria for training deep learning segmentation models.
A curated collection of transformers to accelerate and enhance machine learning experimentation with the Steppy library.
A Caffe-based deep learning model for face detection with pre-trained weights and training scripts.
MXNet bindings for the Crystal programming language, enabling deep learning and machine learning development.
A deep learning-based password cracking tool that uses adaptive dynamic mangling rules to reduce bias in real-world password strength modeling.
A curated list of the best production-ready Hugging Face models for NLP, vision, audio, and multimodal tasks.
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