Deep Learning
Showing 36 of 937 projects
Sample code demonstrating Core ML integration with ResNet50 and custom models converted via coremltools.
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 open-source machine learning solution for the Santander Value Prediction Challenge on Kaggle.
A foundation model-driven method for semantic cell classification in whole slide images, extending Cellpose with a WSI workflow and QuPath integration.
A Python library for building and training feedforward neural networks with GPU support and mini-batch learning.
A JavaScript/TypeScript library for accelerated tensor computation and ONNX model execution in the browser.
A collection of classical machine learning models implemented with TensorFlow 2 and Keras, featuring TensorBoard visualizations.
A collection of easy-to-use machine learning datasets for Torch7 with built-in preprocessing and sampling utilities.
A TensorFlow/TensorLayer implementation of Spatial Transformer Networks for learning image transformations like scaling, cropping, and rotation.
A curated list of awesome Keras projects, libraries, and resources for deep learning.
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.
An open-source image processing tool for histological image preprocessing and augmentation to improve deep learning model development.
A Python package for 3D single-cell shape analysis using geometric deep learning on point clouds and voxels.
A curated collection of resources, papers, and implementations for training Generative Adversarial Networks (GANs).
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 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 personal learning repository for implementing neural networks and machine learning models using Torch in Lua.
A ROS2 wrapper for the Movidius Neural Compute Stick (NCS) providing object classification and detection services for images and video streams.
A pre-trained deep learning model for image classification that identifies 1000 object classes using the Inception-ResNet-v2 architecture.
Profile TensorFlow Lite and OpenCV DNN models on Android devices with performance metrics and delegate options.
A Go library using Cgo for blazing fast inference of CatBoost gradient boosting models.
A TensorFlow-based GAN model that automatically adds color to black and white images.
A tutorial on building and training a convolutional neural network for MNIST image classification using Flax Linen and Optax.
A deep learning model that detects mitosis in breast cancer tumor cell images to assist in tumor proliferation scoring.
A deep learning model that classifies sports videos into 487 different sports activities using a 3D convolutional neural network.
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.
A curated collection of transformers to accelerate and enhance machine learning experimentation with the Steppy library.
Generates synthetic phase contrast or fluorescence microscope images of bacteria for training deep learning segmentation models.
A Caffe-based deep learning model for face detection with pre-trained weights and training scripts.
A curated list of academic resources, datasets, and implementations for image harmonization research.
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