raminmh / ordinary-neural-circuits
Code repo for paper: ICML 2020 paper Natural lottery ticket winner: RL for ordinary neural circuits
☆12Updated 4 years ago
Related projects: ⓘ
- Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling☆24Updated 10 months ago
- Equation Learning Based Neural Network Model☆11Updated 4 months ago
- A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network sync…☆12Updated last month
- Dynamic causal Bayesian optimisation☆32Updated last year
- NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch☆25Updated last year
- A paper describing the implementation of PySR and SymbolicRegression.jl☆45Updated 7 months ago
- An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.☆19Updated 11 months ago
- ☆10Updated 4 years ago
- Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model☆14Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆21Updated 2 years ago
- Code repository for Liquid Time-stochasticity networks (LTSs)☆19Updated last year
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆26Updated 6 months ago
- symbolic regression☆36Updated 2 years ago
- Python implementation of multilinear dynamical systems for tensor time series (NIPS'13)☆12Updated 2 years ago
- Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.☆13Updated last year
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆34Updated 2 weeks ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 3 years ago
- ☆13Updated this week
- Scalable stochastic verification of continuous-depth models☆11Updated last year
- A python package for finding causal functional connectivity from neural time series observations.☆14Updated 9 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated last year
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆39Updated 2 years ago
- This repo contains the code associated to the paper: "Constrained Causal Bayesian Optimization" by Aglietti Virginia, Alan Malek, Ira Kt…☆13Updated 3 months ago
- ☆15Updated 3 months ago
- Replication materials for "Identifying the Development and Application of Artificial Intelligence in Scientific Text"☆11Updated 4 years ago
- Tool to numerically solve and analyse simplicial Kuramoto models.☆17Updated last year
- Quantification of Uncertainty with Adversarial Models☆27Updated last year
- Project for the financial forecasting challenge from G-Research (https://financialforecasting.gresearch.co.uk/).☆7Updated 6 years ago
- An OpenAI wrapper for PyReason to use in a Grid World reinforcement learning setting☆22Updated 8 months ago
- LaTeX source code for the slides☆21Updated 3 years ago