Toontown: Galaxy, a new Toontown game based on Disney's Toontown Online

Last update: Feb 15, 2022

Related tags

Deep Learning Toontown-Galaxy

Overview

Toontown: Galaxy

The official archive repo for Toontown: Galaxy, a new Toontown game based on Disney's Toontown Online.

Contributors:

Pants - Producer, and Composer
Xeltania - Game Developer
Wizzerinus - Game Developer
DarthAnonymous - Game Developer
Galaxy- Original Founder, Game Developer
Rocket - Game Developer

Repo Rules and Regulations:

When adding commits, don't push to master unless the code is tested and fully functional.

Dependencies

You can find the installer for panda3d in our discord

Windows: https://cdn.discordapp.com/attachments/819676286703501325/940131594566529034/Panda3D-1.11.0-py3.9-x64.exe

Mac: https://cdn.discordapp.com/attachments/919806809970212864/922756181779447808/Panda3D-1.11.0-py3.8.dmg

Ubuntu: https://drive.google.com/file/d/1yafjV-PtRaIqHumpUSC1EqXKx5NuvHnV/view?usp=sharing

Other linux platforms: https://cdn.discordapp.com/attachments/819676286703501325/930289469314170940/panda3d-1.11.0-cp39-cp39-linux_x86_64.whl

You will also need to install mysql server if you are going to host a local server Instructions to download and install coming soon.

Owner

GitHub Repository

Normalization Calibration (NorCal) for Long-Tailed Object Detection and Instance Segmentation

NorCal Normalization Calibration (NorCal) for Long-Tailed Object Detection and Instance Segmentation On Model Calibration for Long-Tailed Object Detec

24 Dec 25, 2022

joint detection and semantic segmentation, based on ultralytics/yolov5,

Multi YOLO V5——Detection and Semantic Segmentation Overeview This is my undergraduate graduation project which based on ultralytics YOLO V5 tag v5.0.

477 Jan 06, 2023

Official Implementation for Fast Training of Neural Lumigraph Representations using Meta Learning.

Fast Training of Neural Lumigraph Representations using Meta Learning Project Page | Paper | Data Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzst

39 Oct 08, 2022

Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR

Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"

72 Dec 09, 2022

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Overview | Tutorials | Examples | Installation | FAQ | How to Cite Welcome to ktrain News and Announcements 2020-11-08: ktrain v0.25.x is released and

1.1k Jan 02, 2023

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

48 Dec 20, 2022

Segmentation vgg16 fcn - cityscapes

VGGSegmentation Segmentation vgg16 fcn - cityscapes Priprema skupa skripta prepare_dataset_downsampled.py Iz slika cityscapesa izrezuje haubu automobi

6 Oct 24, 2020

ImageNet Adversarial Image Evaluation

ImageNet Adversarial Image Evaluation This repository contains the code and some materials used in the experimental work presented in the following pa

11 Dec 26, 2022

DenseNet Implementation in Keras with ImageNet Pretrained Models

DenseNet-Keras with ImageNet Pretrained Models This is an Keras implementation of DenseNet with ImageNet pretrained weights. The weights are converted

568 Oct 31, 2022

A semismooth Newton method for elliptic PDE-constrained optimization

sNewton4PDEOpt The Python module implements a semismooth Newton method for solving finite-element discretizations of the strongly convex, linear ellip

2 Dec 08, 2022

TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video Timely handgun detection is a cr

18 Dec 26, 2022

Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks

LMMNN Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks This is the working dire

10 Nov 02, 2022

TensorFlow implementation of "Variational Inference with Normalizing Flows"

[TensorFlow 2] Variational Inference with Normalizing Flows TensorFlow implementation of "Variational Inference with Normalizing Flows" [1] Concept Co

7 Jun 08, 2022

(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Python Outlier Detection (PyOD) Deployment & Documentation & Stats Build Status & Coverage & Maintainability & License PyOD is a comprehensive and sca

6.6k Jan 03, 2023

Demystifying How Self-Supervised Features Improve Training from Noisy Labels

Demystifying How Self-Supervised Features Improve Training from Noisy Labels This code is a PyTorch implementation of the paper "[Demystifying How Sel

[email protected]"> 4 Oct 14, 2022

RoFormer_pytorch

PyTorch RoFormer 原版Tensorflow权重(https://github.com/ZhuiyiTechnology/roformer) chinese_roformer_L-12_H-768_A-12.zip (提取码：xy9x) 已经转化为PyTorch权重 chinese_r

283 Dec 12, 2022

Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.

opt-einsum-torch There have been many implementations of Einstein's summation. numpy's numpy.einsum is the least efficient one as it only runs in sing

9 Nov 18, 2022

This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.

TecoGAN This repository contains source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN for video super-resolution

5.2k Jan 02, 2023

BOVText: A Large-Scale, Multidimensional Multilingual Dataset for Video Text Spotting

BOVText: A Large-Scale, Bilingual Open World Dataset for Video Text Spotting Updated on December 10, 2021 (Release all dataset(2021 videos)) Updated o

47 Dec 26, 2022

Implement A3C for Mujoco gym envs

pytorch-a3c-mujoco Disclaimer: my implementation right now is unstable (you ca refer to the learning curve below), I'm not sure if it's my problems. A

70 Dec 12, 2022