Deep Learning
Showing 36 of 937 projects
A JavaScript library and workspace for building and experimenting with dynamic neural network architectures.
A 3D vision library for monocular and stereo 3D human detection, social distancing, and body orientation estimation from 2D keypoints.
An Android example project demonstrating TensorFlow integration for handwritten digit recognition using the MNIST dataset.
A PyTorch library for creating and training autoencoders on sequential data (time series, videos, etc.) in just two lines of code.
A toolkit that streamlines and automates the generation of model cards for machine learning models.
A neural network for object detection using multi-level fusion of camera and radar data, built on Keras RetinaNet.
OCaml bindings for PyTorch, providing NumPy-like tensor computations with GPU acceleration and automatic differentiation.
A Pascal-based deep learning neural network API optimized for AVX/AVX2/AVX512 and OpenCL, supporting AMD, Intel, and NVIDIA hardware.
Annotated notes and summaries of the TensorFlow white paper, with SVG figures and links to documentation.
A benchmark dataset and toolkit for RF-based drone detection and identification using raw IQ data and deep learning models.
A minimalist GPU-only framework for N-dimensional convolutional neural networks focused on speed and hackability.
A 100M-parameter foundation model for single-cell transcriptomics, enabling gene expression enhancement, drug response prediction, and perturbation analysis.
A collection of deep learning tutorials and implementations using Keras and Lasagne, with a focus on Theano-based frameworks.
Deep learning models for crop yield prediction using remote sensing data, with CNN/LSTM and Gaussian Process approaches.
A simple, realtime visualization server for monitoring neural network training performance across frameworks.
A curated list of deep learning research papers and implementations for high dynamic range image and video synthesis.
A lightweight neural network for near-real-time semantic segmentation of LiDAR point clouds using polar coordinate quantization.
A PyTorch reinforcement learning library implementing DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, and IMPALA.
An open-source machine learning framework built in Rust for high-performance and extensible ML tasks.
An open-source machine learning framework built in Rust for high-performance and extensible ML tasks.
Reference mapping for single-cell genomics
A vision transformer-based deep learning model for automated instance segmentation and classification of cell nuclei in histopathology images.
Interactive visualization tool for understanding Capsule Network (CapsNet) layers and their internal workings.
A curated list of research, applications, tutorials, and software built using the H2O open-source machine learning platform.
A purely functional artificial neural network library for Haskell, enabling rapid prototyping through higher-order function composition.
Convert Torch7 neural network models to Apple CoreML format for deployment on iOS/macOS devices.
A Ruby gem providing TensorFlow bindings for basic tensor operations and machine learning tasks.
A collection of open-source machine learning and quantitative analysis models implemented in TensorFlow and PyTorch.
A fast neural network framework for iOS and macOS using Swift and Metal for GPU acceleration.
A neural network playground built in pure Swift for iOS, with no third-party dependencies.
A neural networks toolbox for medical image analysis, providing specialized layers, models, and utilities for TensorFlow/Keras.
A high-level machine learning library for Go with a Keras-like API, built on Gorgonia.
An easy-to-use C# deep learning library with support for multiple backends including TensorFlow, PyTorch, and CUDA/OpenCL.
A re-implementation of the SPP-net object detection algorithm using spatial pyramid pooling in deep convolutional networks for visual recognition.
A curated list of deep learning resources for 3D shape processing, covering classification, reconstruction, and generation.
A curated list of open-source neural machine translation implementations across various deep learning frameworks.
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