decanbay

YOLOv3-Calculate-Anchor-Boxes

This script performs K-means Clustering on the Berkeley Deep Drive dataset to find the appropriate anchor boxes for YOLOv3. Originally it has 9 anchor boxes and image size is 608x608. For any issues pleas let me know

Fourier-ADALINE

ADALINE that takes Fourier of the input signal is implemented and compared with its FFT.

Berkeley-deep-drive-yolo-v3-parser

This script converts BDD dataset's Json file to the Yolov3 training format.

Practical-Deep-Learning-Applied-to-Time-Series

Practical Deep Learning resources for Time series analysis and forecasting

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cs224w-colabs

datamaps

Customizable SVG map visualizations for the web in a single Javascript file using D3.js

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

PathPiler

I inititally cerated this for myself as I had too many tabs open. Now I drag the url to this preset size url and only have 1 tab open. Queue works in a FIFO manner.

decanbay.github.io

EECS545_Project_DeLaN

garage

A toolkit for reproducible reinforcement learning research

Manifold-Learning

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

MPM-NGF

Material Point Method with Nonlocal Granular Fluidity

quanser-rotpen-sim

Quanser_Rotpen_Transfer

Transfer learning for quanser Rotary Pendulum

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rl-colab-notebooks

Colab notebooks part of the documentation of Stable Baselines reinforcement learning library

Rotpen_Qaunser_RL

simple-control-envs

Various control environments for RL tasks

Solaar

Linux device manager for Logitech devices

Subspace-Graph-Physics

Subspace Graph Physics

taichi

My fork of https://github.com/taichi-dev/taichi

taichi_dem

A minimal DEM simulation demo written in Taichi.

torch-graphnet

PyTorch implementation of Graph Nets

tutorials

PyTorch tutorials.

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020