Institute for Health Metrics and Evaluation - a catalog of health and demographic datasets from around the world and including IHME results.
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Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
Fully Autonomous Research Agent for Health Infomatics.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
Main interface and application logic are orchestrated within src/components/interface.py.
Minimalist neural network library optimized for sparse data and single machine environments.
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
National Centers for Environmental Information applies AI to data analysis, extraction, visualization, or business intelligence.
Helps find, analyze or synthesize information for research and knowledge discovery.
Collection of infrastructure and tools for research in neural network interpretability.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Machine learning development environment for data science and AI/ML engineering teams.
Build, packaging, and run system for ephemeral multi-container environments.
The iOS and OS X neural network framework.
Theano based library for deep and recurrent neural networks.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
Deep learning in Rust, with shape checked tensors and neural networks.
Lightweight library to build and train neural networks in Theano.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
Visualizer for neural network, deep learning and machine learning models.