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.
A curated collection of hands-on data science project ideas and resources for learning machine learning and AI concepts.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
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.
HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.
An efficient video and audio loader for deep learning with hardware-accelerated decoding and smart shuffling.
A JAX/Flax-based framework for easy and scalable pre-training, fine-tuning, evaluation, and serving of large language models.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
A machine learning package implementing message passing neural networks for predicting molecular and reaction properties.
A Go library that simplifies TensorFlow's Go bindings with method chaining, automatic scoping, and type conversion.
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 generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.
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 list of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
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 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 flow-based generative network for fast, high-quality speech synthesis from mel-spectrograms.
A Python library for automatic differentiation that generates readable Python source code as its derivative output.
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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