charlesDelahunt / SmartAsABugLinks
Code used in the paper "Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets", by CB Delahunt, JA Riffell, and JN Kutz, January 2018.
☆34Updated 6 years ago
Alternatives and similar repositories for SmartAsABug
Users that are interested in SmartAsABug are comparing it to the libraries listed below
Sorting:
- Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz☆41Updated 6 years ago
- Implementation of the Differentiable Neural Computer in Tensorflow☆119Updated 7 years ago
- ☆114Updated last year
- Code supporting the PVM paper☆149Updated 8 years ago
- ☆114Updated 11 months ago
- Nengo library of additional extensions☆29Updated 2 years ago
- Environment and tasks for the first round of the General AI Challenge.☆80Updated 7 years ago
- subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks☆16Updated 7 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆103Updated 7 years ago
- unitary matrix for hidden to hidden layer☆75Updated 8 years ago
- Skip Context Tree Switching - Reference Implementation☆51Updated 7 years ago
- Algorithmic Intelligence Quotient☆39Updated 3 years ago
- Python cognitive modelling suite☆100Updated 7 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- MC-AIXI-CTW by Marcus Hutter and his students (in particular Daniel Visentin)☆49Updated 14 years ago
- Benchmark testbed for assessing the performance of optimisation algorithms☆82Updated 10 years ago
- AIXIjs - General Reinforcement Learning in the Browser☆148Updated 5 years ago
- Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"☆144Updated 6 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆71Updated 4 years ago
- NPI(Neural Programmer-Interpreters) implementation with Keras☆242Updated 3 years ago
- ☆86Updated 12 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 9 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- General purpose Hessian-free optimization in Theano☆182Updated 11 years ago
- 2019 talk at GECCO☆68Updated 6 years ago
- The original Deepmind Atari 2600 DQN code☆31Updated 2 years ago
- ☆104Updated 3 years ago
- Code and report for APMA136 Final Project☆19Updated 10 years ago
- A set of neuroevolution experiments with/towards deep networks☆125Updated 5 years ago