Deep Learning
Showing 36 of 937 projects
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
A curated collection of hands-on data science project ideas and resources for learning machine learning and AI concepts.
A deep learning framework for research, development, and production with flexible Python API and C++ core.
A TensorFlow library for Learning-to-Rank (LTR) techniques, providing loss functions, metrics, and models for ranking tasks.
A curated collection of academic papers, code, and resources for learning with noisy labels in machine learning.
Deep neural network to extract structured information from invoice documents with a customizable UI and training tools.
A benchmarking suite comparing the performance of public convolutional neural network implementations across multiple deep learning frameworks.
A curated list of key papers and resources on implicit neural representations, a novel approach to parameterizing signals as continuous functions.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
An open-source deep learning API and server written in C++ that supports multiple backends like PyTorch, TensorRT, and TensorFlow for training and inference.
Automatic neural architecture search and hyperparameter optimization for PyTorch, focusing on tabular data and time series forecasting.
A JAX/Flax-based framework for easy and scalable pre-training, fine-tuning, evaluation, and serving of large language models.
An efficient video and audio loader for deep learning with hardware-accelerated decoding and smart shuffling.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.
A Go library that simplifies TensorFlow's Go bindings with method chaining, automatic scoping, and type conversion.
A machine learning package implementing message passing neural networks for predicting molecular and reaction properties.
A curated list of community detection research papers with implementations.
A ROS package for real-time object detection in camera images using YOLO (V3) on GPU and CPU.
A ROS package for real-time object detection in camera images using YOLO (V3) on GPU and CPU.
A pioneering object detection system that combines region proposals with convolutional neural network features, significantly advancing detection accuracy.
A Python library for graph deep learning built on Keras and TensorFlow 2, providing flexible tools for graph neural networks.
A modular toolkit for machine learning, natural language processing, and text generation with TensorFlow and PyTorch versions.
A curated collection of papers, code, and resources on neural rendering techniques for computer vision and graphics.
A large-scale dataset of object-centric video clips with 3D bounding box annotations and AR metadata for 3D object detection research.
A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.
A flow-based generative network for fast, high-quality speech synthesis from mel-spectrograms.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A Python library for automatic differentiation that generates readable Python source code as its derivative output.
A curated list of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
A Python library for audio data augmentation to improve the robustness of audio machine learning models.
A deep learning system for accurate protein structure and interaction prediction using a three-track neural network.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
PyGAD is a Python library for building genetic algorithms and optimizing machine learning models with Keras and PyTorch support.
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