JordanMicahBennett / Supermathematics-and-Artificial-General-IntelligenceLinks
I clearly unravel how I came to invent the supermanifold hypothesis in deep learning, (a part of a system called 'thought curvature') in relation to quantum computation.
☆20Updated 2 years ago
Alternatives and similar repositories for Supermathematics-and-Artificial-General-Intelligence
Users that are interested in Supermathematics-and-Artificial-General-Intelligence are comparing it to the libraries listed below
Sorting:
- A simple OpenAI Gym environment for Neural Architecture Search (NAS)☆30Updated 5 years ago
- GitHub "AI-Brain-of-Brains" created from (11,400+) hand picked GitHub Repos, Providing advanced search capability for Repos with specific…☆23Updated 7 years ago
- human-readable solution of an arbitrary optimization problem through Reinforcement Learning☆12Updated this week
- Evolution of Discrete data with Reinforcement Learning☆13Updated 5 years ago
- Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia …☆47Updated 4 years ago
- Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"☆30Updated 2 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Documentation, content and meta files about GUT-AI.☆31Updated 2 weeks ago
- 🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.☆12Updated 8 years ago
- Understanding RL vision Distill article☆24Updated 2 years ago
- Cellular automaton-based calculus for the masses☆24Updated 7 years ago
- ☆42Updated 5 years ago
- GPT-3 attempts to predict & balance chemical reactions☆13Updated 5 years ago
- Python client for the Human Brain Project Neuromorphic Computing Platform☆58Updated last month
- Code for the remote-access API of the EBRAINS/HBP Neuromorphic Computing Platform☆15Updated last month
- Network Designed to Eventually Yield Sentience and Sapience☆11Updated 5 years ago
- 📰 Computing the information content of trained neural networks☆22Updated 3 years ago
- Machine Learning Explorations - A list of machine learning resources☆32Updated 2 years ago
- Saraswati AI | Superhuman (AI) Teacher: All of Education, for All☆40Updated 5 years ago
- Made for a reading group at the Center for Safe AGI.☆12Updated 2 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 6 months ago
- Quick definitions and intuitive explanations around machine learning.☆36Updated last month
- CNN implementation to detect constellations in sky☆10Updated 7 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Easily benchmark Machine Learning models on selected tasks and datasets☆16Updated 2 years ago
- Machine learning utilities for model conversion, serialization, loading etc☆27Updated 2 years ago
- The "Supersymmetric Artificial Neural Network" (or "Edward Witten/String theory powered artificial neural network") is a Lie Superalgebra…☆27Updated 5 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…☆12Updated 4 years ago