T81 558 Deep Learning
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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Results: 72
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
chemprop
Message Passing Neural Networks for Molecule Property Prediction
pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
pingcap
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
NirDiamant
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle…
satellitecomponent
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
cycloidio
Read your tfstate or HCL to generate a graph specific for each provider, showing only the resources that are most important/relevant.
jeshraghian
Deep and online learning with spiking neural networks in Python
semantica-agi
Semantica 🧠 — AI-native knowledge graph intelligence framework for semantic retrieval, ontology reasoning, context graphs, and explainable AI systems.
O365
A simple python library to interact with Microsoft Graph and Office 365 API
SanMuzZzZz
LuaN1aoAgent is a cognitive-driven AI hacker. It is a fully autonomous AI penetration testing agent, using dual-graph reasoning.
thu-ml
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
retentioneering
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and beh…
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
topoteretes
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
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