deep-learningtensorflowpytorchflaxvsajaxneuro-symbolic-learningneuro-symbolicneuro-symbolic-aihrrholographic-reduced-representations2d-hrrhrr-libraryhrr-python-libraryvector-symbolic-architecturehrr-github UpdatedNov 4, 2024 Python NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Sc...
Neuro-Symbolic AI with Knowledge Graph 🚀 Current Knowledge Graphs are extremely primitive in today's AI landscape, Nucleoid is revolutionizing knowledge graphs with "Logic Graph" to get next step in the journey to AGI 🌿🌱🐋🌍 javascript node knowledge logic knowledge-graph symbolic logic-...
LangVAE is a Python library for training and running language models using Variational Autoencoders (VAEs). It provides an easy-to-use interface to train VAEs on text data, allowing users to customize the model architecture, loss function, and training parameters. Installation To install LangVAE...
neuro-symbolic-ai/lunar-bioverse-demoPublic NotificationsYou must be signed in to change notification settings Fork0 Star1 MIT license starforks NotificationsYou must be signed in to change notification settings Code Issues1 Pull requests Actions ...
deep-learningtensorflowpytorchflaxvsajaxneuro-symbolic-learningneuro-symbolicneuro-symbolic-aihrrholographic-reduced-representations2d-hrrhrr-libraryhrr-python-libraryvector-symbolic-architecturehrr-github UpdatedJul 7, 2024 Python Codebase for Neuro-Symbolic Continual Learning. ...
⭐️ Star us on GitHub for the support Neuro-Symbolic AI is an emerging field and thanks to declarative logic programming, we have a brand-new approach to Neuro-Symbolic AI. Join us in shaping the future of AI! Generated byNucBot ...
"The integration of deep learning with symbolic reasoning could lead to the next wave of AI advancements, potentially solving tasks that require complex, structured thinking." — Demis Hassabis, Co-founder of DeepMind All the achievements and progress are fascinating—to see how a "metal box" com...
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms - pauljblazek/deepdistilling
SymbolicAI enables the seamless integration of generative models with a diverse range of solvers by treating large language models (LLMs) as semantic parsers that execute tasks based on both natural and formal language instructions, thus bridging the gap between symbolic reasoning and generative AI. ...
NSSC: Neuro-Symbolic System for CancerNSCC is a system designed to address the challenge of oncological entity linking in clinical narratives written in Spanish. The repository contains a variety of components, each contributing to different aspects of the system's functionality....