TLoL (Python Module) - League of Legends Deep Learning AI (Research and Development)

Related tags

Deep Learningtlol-py
Overview

TLoL-py - League of Legends Deep Learning Library

TLoL-py is the Python component of the TLoL League of Legends deep learning library. It provides a set of utility methods and classes to deal with League of Legends game playing, deep learning datasets and provides a library to build a deep learning agent which can play League of Legends.

This module is currently updated to patch 11.23.

About

Disclaimer: This project is not affiliated with Riot Games in any way.

If you are interested in using this project or are just curious, send an email to [email protected].

Quick Start Guide

Get TLoL-py

From Source

You can install the TLoL python module from a local clone of the git repo:

git clone https://github.com/MiscellaneousStuff/tlol-py.git
pip install --upgrade tlol-py/

Config

This module requires the EnableReplayApi=1 flag to be added to .\Config\game.cfg within the League of Legends installation directory, underneath the [General] section so it should like:

[General]
...
EnableReplayApi=1
You might also like...
A PyTorch Library for Accelerating 3D Deep Learning Research
A PyTorch Library for Accelerating 3D Deep Learning Research

Kaolin: A Pytorch Library for Accelerating 3D Deep Learning Research Overview NVIDIA Kaolin library provides a PyTorch API for working with a variety

A Real-Time-Strategy game for Deep Learning research
A Real-Time-Strategy game for Deep Learning research

Description DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research. It is written in C++ for performance, but provi

计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

PyTorch实现多种计算机视觉中网络设计中用到的Attention机制,还收集了一些即插即用模块。由于能力有限精力有限,可能很多模块并没有包括进来,有任何的建议或者改进,可以提交issue或者进行PR。

Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module

Invariant Point Attention - Pytorch Implementation of Invariant Point Attention as a standalone module, which was used in the structure module of Alph

AbelNN: Deep Learning Python module from scratch

AbelNN: Deep Learning Python module from scratch I have implemented several neural networks from scratch using only Numpy. I have designed the module

A Pytree Module system for Deep Learning in JAX
A Pytree Module system for Deep Learning in JAX

Treex A Pytree-based Module system for Deep Learning in JAX Intuitive: Modules are simple Python objects that respect Object-Oriented semantics and sh

FTIR-Deep Learning - FTIR Deep Learning With Python

CANDIY-spectrum Human analyis of chemical spectra such as Mass Spectra (MS), Inf

A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks A Research-oriented Federated Learning Library and Benchmark Platform

Turi Create simplifies the development of custom machine learning models.
Turi Create simplifies the development of custom machine learning models.

Quick Links: Installation | Documentation | WWDC 2019 | WWDC 2018 Turi Create Check out our talks at WWDC 2019 and at WWDC 2018! Turi Create simplifie

Comments
  • dowloader.py is outdated

    dowloader.py is outdated

    Issue

    It seems that riot has patched this, or at least changed the way it allows us to download replays, or hopefully I am wrong.

    for example, these two game_ids

    • 4274782214
    • 4291035149

    These game id's are game id's of anywhere between plat2-challenger on the NA1 server.

    I am unable to download the replays for either of these, as viewing the metadata url via the LCU explorer shows that the state is incompatible

    url = f"https://127.0.0.1:{str(port)}/lol-replays/v1/metadata/{str(gameId)}"
    

    when sending a GETrequest to the metadata endpoint, you will also probably get this response:

    {
      "downloadProgress": 499155328,
      "gameId": 4291035149,
      "state": "incompatible"
    }
    

    Un-Related

    nit-pick: why not use HTTPBasicAuth instead of using base64? nit-pick: why not use .cmdline() on the league process? [ it gives you access to a list of every argument that was used when starting the .exe file, suchas the remote-auth-port and the auth-token [ used for authentication to the league client ]

    opened by nubonics 2
Releases(patch_12_3)
VOLO: Vision Outlooker for Visual Recognition

VOLO: Vision Outlooker for Visual Recognition, arxiv This is a PyTorch implementation of our paper. We present Vision Outlooker (VOLO). We show that o

Sea AI Lab 876 Dec 09, 2022
Benchmark spaces - Benchmarks of how well different two dimensional spaces work for clustering algorithms

benchmark_spaces Benchmarks of how well different two dimensional spaces work fo

Bram Cohen 6 May 07, 2022
Deep Semisupervised Multiview Learning With Increasing Views (IEEE TCYB 2021, PyTorch Code)

Deep Semisupervised Multiview Learning With Increasing Views (ISVN, IEEE TCYB) Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dez

3 Nov 19, 2022
A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).

UniNAS A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS). under development (which happens mostly on our internal Gi

Cognitive Systems Research Group 19 Nov 23, 2022
The source code and dataset for the RecGURU paper (WSDM 2022)

RecGURU About The Project Source code and baselines for the RecGURU paper "RecGURU: Adversarial Learning of Generalized User Representations for Cross

Chenglin Li 17 Jan 07, 2023
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.

TorchFlare TorchFlare is a simple, beginner-friendly and an easy-to-use PyTorch Framework train your models without much effort. It provides an almost

Atharva Phatak 85 Dec 26, 2022
Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)

Certified Robustness to Adversarial Word Substitutions This is the official GitHub repository for the following paper: Certified Robustness to Adversa

Robin Jia 38 Oct 16, 2022
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

Opytimizer: A Nature-Inspired Python Optimizer Welcome to Opytimizer. Did you ever reach a bottleneck in your computational experiments? Are you tired

Gustavo Rosa 546 Dec 31, 2022
Official PyTorch Implementation of Rank & Sort Loss [ICCV2021]

Rank & Sort Loss for Object Detection and Instance Segmentation The official implementation of Rank & Sort Loss. Our implementation is based on mmdete

Kemal Oksuz 229 Dec 20, 2022
A decent AI that solves daily Wordle puzzles. Works with different websites with similar wordlists,.

Wordle-AI A decent AI that solves daily "Wordle" puzzles. Works with different websites with similar wordlists. When prompted with "Word:" enter the w

Ethan 1 Feb 10, 2022
Convert openmmlab (not only mmdetection) series model to tensorrt

MMDet to TensorRT This project aims to convert the mmdetection model to TensorRT model end2end. Focus on object detection for now. Mask support is exp

JinTian 4 Dec 17, 2021
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale

EgonNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale Paper: EgoNN: Egocentric Neural Network for Point Cloud

19 Sep 20, 2022
Causal estimators for use with WhyNot

WhyNot Estimators A collection of causal inference estimators implemented in Python and R to pair with the Python causal inference library whynot. For

ZYKLS 8 Apr 06, 2022
Classification of EEG data using Deep Learning

Graduation-Project Classification of EEG data using Deep Learning Epilepsy is the most common neurological disease in the world. Epilepsy occurs as a

Osman Alpaydın 5 Jun 24, 2022
RCT-ART is an NLP pipeline built with spaCy for converting clinical trial result sentences into tables through jointly extracting intervention, outcome and outcome measure entities and their relations.

Randomised controlled trial abstract result tabulator RCT-ART is an NLP pipeline built with spaCy for converting clinical trial result sentences into

2 Sep 16, 2022
🙄 Difficult algorithm, Simple code.

🎉TensorFlow2.0-Examples🎉! "Talk is cheap, show me the code." ----- Linus Torvalds Created by YunYang1994 This tutorial was designed for easily divin

1.7k Dec 25, 2022
Husein pet projects in here!

project-suka-suka Husein pet projects in here! List of projects mysejahtera-density. Generate resolution points using meshgrid and request each points

HUSEIN ZOLKEPLI 47 Dec 09, 2022
Official implementation of the paper "Steganographer Detection via a Similarity Accumulation Graph Convolutional Network"

SAGCN - Official PyTorch Implementation | Paper | Project Page This is the official implementation of the paper "Steganographer detection via a simila

ZHANG Zhi 1 Nov 26, 2021
Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.

Spchcat Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi. Description spchcat is a command-line tool that read

Pete Warden 279 Jan 03, 2023
a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LSTM layers

RNN-Playwrite a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LS

Arno Barton 1 Oct 29, 2021