Bio-OFC gym implementation and Gym-Fly environment

Last update: Nov 16, 2021

Related tags

Overview

Bio-OFC gym implementation and Gym-Fly environment

This repository includes the gym compatible implementation of the Bio-OFC algorithm from the paper "Neural optimal feedback control with local learning rules". The implementation used for plots other than the Gym-Fly environment are provided in a different folder.

Installation

For installation instructions in a Conda environment and environment dependencies see installation.txt.

Gym environments

A gym environment for delayed linear dynamical systems is implemented in delayed_linear_systems.py. For a demo of this see Bio_OFC linear system demo.ipynb.

A gym environment simulating winged flight in a 2-d environment with simplified dynamics is implemented in gym-fly. For a demo of this see Bio_OFC gym-fly demo.ipynb. A video demo of the gym-fly environment training with Bio-OFC can be found under gym-fly-demo.mp4.

Owner

Siavash Golkar

GitHub Repository

Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

CoProtector Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

1 Oct 26, 2021

Google-drive-to-sqlite - Create a SQLite database containing metadata from Google Drive

google-drive-to-sqlite Create a SQLite database containing metadata from Google

140 Dec 04, 2022

A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines

A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines Understanding the results of deep neural networks is

2 Dec 13, 2021

Perform Linear Classification with Multi-way Data

MultiwayClassification This is an R package to perform linear classification for data with multi-way structure. The distance-weighted discrimination (

2 Dec 15, 2020

LSTM model trained on a small dataset of 3000 names written in PyTorch

LSTM model trained on a small dataset of 3000 names. Model generates names from model by selecting one out of top 3 letters suggested by model at a time until an EOS (End Of Sentence) character is no

1 Dec 20, 2021

PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

Box Convolution Layer for ConvNets Single-box-conv network (from `examples/mnist.py`) learns patterns on MNIST What This Is This is a PyTorch implemen

515 Dec 18, 2022

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Language Generation with Recurrent Generative Adversarial Networks without Pre-training Code for training and evaluation of the model from "Language G

253 Sep 14, 2022

A Re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"

What is This This is a simple re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"(1). Only Sections

102 Dec 14, 2022

Experiments with Fourier layers on simulation data.

Factorized Fourier Neural Operators This repository contains the code to reproduce the results in our NeurIPS 2021 ML4PS workshop paper, Factorized Fo

57 Dec 25, 2022

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

4.2k Dec 29, 2022

Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".

PPO-BiHyb This is the official implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Grap

[email protected]"> 66 Nov 23, 2022

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

70 Jul 12, 2022

Bio-OFC gym implementation and Gym-Fly environment

Related tags

Overview

Bio-OFC gym implementation and Gym-Fly environment

Installation

Gym environments

Owner

Siavash Golkar

Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

Google-drive-to-sqlite - Create a SQLite database containing metadata from Google Drive

A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines

Perform Linear Classification with Multi-way Data

LSTM model trained on a small dataset of 3000 names written in PyTorch

PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

A Re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"

Experiments with Fourier layers on simulation data.

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".

Rainbow DQN implementation that outperforms the paper's results on 40% of games using 20x less data 🌈

The best solution of the Weather Prediction track in the Yandex Shifts challenge

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Code for Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Code for our work "Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection".

Pytorch implementation of

Python library for tracking human heads with FLAME (a 3D morphable head model)

Time-Optimal Planning for Quadrotor Waypoint Flight

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.