DeepSWE supports software development with code generation, analysis, debugging, or documentation.
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The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
Deep learning foundations and applications.
Multi-agent Deep-research System supports AI agents, automated workflows, orchestration, or delegated tasks.
r/DeepSeek points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.
Synthetic Creativity - by Cavin - Deep Markets provides machine-learning models, research, training resources, or evaluation tools.
Theano based library for deep and recurrent neural networks.
Source leads with our agentic web scraper, qualify them with AI and reach them with contact enrichment.
Helps teams build, deploy, observe or operate machine-learning systems.
Capture your ideas, connect them, and grow them into something you can actually use. AI that works alongside your thinking, not instead of it.
TheresAnAIForThat creates or edits images with generative AI and text-based controls.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
Basic proof of concept for genetic architecture search in Keras.
Paper by Dipankar Dasgupta, Deepak Venugopal and Kishor Datta Gupta.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Helps find, analyze or synthesize information for research and knowledge discovery.
Analyzes structured data and helps produce queries, insights or visualizations.
Supports software work with AI-assisted coding, testing or application development.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
List of awesome compiler projects and papers for tensor computation and deep learning.
Fast open framework for deep learning.