Python Model-based-rl Resources

streamlit-template A streamlit app template for geospatial applications based on

Ultroid - UserBot A stable pluggable Telegram userbot + Voice & Video Call music

Introduction: aaPanel is the International version for BAOTA panel(www.bt.cn) There have millions servers had installed BAOTA panel since 2014 in Chin

DCGAN in Tensorflow Tensorflow implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networ

Deep Inside Convolutional Networks This is a caffe implementation to visualize the learnt model. Part of a class project at Georgia Tech Problem State

OverFeat OverFeat is a Convolutional Network-based image classifier and feature extractor. OverFeat was trained on the ImageNet dataset and participat

SA-tensorflow Tensorflow implementation of soft-attention mechanism for video caption generation. An example of soft-attention mechanism. The attentio

(简体中文|English) Quick Start | Documents | Models List PaddleSpeech is an open-source toolkit on PaddlePaddle platform for a variety of critical tasks i

Preprossing-loan-data-with-NumPy In this project, I have cleaned and pre-processed the loan data that belongs to an affiliate bank based in the United

Project 3: Web APIs & NLP Problem Statement How do r/Libertarian and r/Neoliberal differ on Biden post-inaguration? The goal of the project is to see

Wheel-of-Fortune-using-Python Wheel of Fortune in python this game is the hands-on project in Python 3 Programming Specialization offered By Universit

Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation This is the official implementation for the method described in Ch

SimpleDepthEstimation Introduction This is an unified codebase for NN-based monocular depth estimation methods, the framework is based on detectron2 (

automaton python script to execute given command = everytime size of a given file changes,hence everytime a file is modified.(almost) download automa

Lending Club Loans: Brief Introduction LendingClub is a US peer-to-peer lending company, headquartered in San Francisco, California.[3] It was the fir

足球视频分析系统 作者 陆徐东 [email protected] 方天宬 [email protected] 简介 本项目是SJTU 21-22学年CS386 数字图像处理课程的大作业，本文是足球视频分析系统的参考文档。我们主要实现了以下功能： 基于Yolo v5和PastaNet搭建了足球视频的

Churn-Prediction-Project In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class. Project in

LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating (Dataset) The dataset is from Amazon Review Data (2018)

Penguin Species Prediction (ML) 🐧 👨🏽‍💻 What? 💻 This project is a basic model using sklearn methods to predict Penguin species based on beak size

System Usability Scale Analysis Toolkit The System Usability Scale (SUS) Analysis Toolkit is a web-based python application that provides a compilatio

基于马尔可夫链的写作机器人 前端 用html/css完成 Demo展示（已给出文本的相应展示） 用户提供相关的语料库后训练的成果 后端 要完成的几个接口 解析文

stroke-predictions-ml-model machine learning model to predict individuals chance

Control-Raspberry-Pi-Robot-using-Hand-Gestures you can see all details about thi

Enigma-Plus Python based Enigma machine simulator with some extra features Examp

Ascify-Art This is a python based colored ASCII art generator for free! How to Install? You can download and use the python version if you want, modul

Python wrapper class for OpenVINO Model Server. User can submit inference request to OVMS with just a few lines of code.

have ansible installed locally run ansible-playbook setup_application.yml this sets up directories, installs system packages, and sets up python envir

Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin

pytorch-3dunet PyTorch implementation 3D U-Net and its variants: Standard 3D U-Net based on 3D U-Net: Learning Dense Volumetric Segmentation from Spar

udemy-dl A cross-platform python based utility to download courses from udemy for personal offline use. Warning Udemy has started to encrypt many of t

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers

Tautulli A python based web application for monitoring, analytics and notifications for Plex Media Server. This project is based on code from Headphon

present A terminal-based presentation tool with colors and effects. You can also play a codio (pre-recorded code block) on a slide. present is built o

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

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

Speech Emotion Analyzer The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have

KoBERT KoBERT Korean BERT pre-trained cased (KoBERT) Why'?' Training Environment Requirements How to install How to use Using with PyTorch Using with

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Captcha Solving Using TensorFlow Introduction Solve captcha using TensorFlow. Learn CNN and TensorFlow by a practical project. Follow the steps, run t

Modified prey-predator system We aim to study the behaviors of the modified prey–predator model and establish the effects of several parameters that p

GestureSSD_CBAM A gesture recognition web system based on SSD and CBAM, using pytorch, flask and node.js SSD implementation is based on https://github

What is Detectron2-FC Detectron2-FC a fast construction platform of neural network algorithm based on detectron2. We have been working hard in two dir

CapsNet-Tensorflow A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules Notes: The current version

Control-Robot-Arm-using-PS4-Controller You can see all details about this Robot

Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.

Price-Prediction-For-a-Dream-Home ROADMAP TO THIS LINEAR REGRESSION BASED HOUSE PRICE PREDICTION PREDICTION MODEL Import all the dependencies of the p

Customer-Transaction-Analysis - This analysis is based on a synthesised transaction dataset containing 3 months worth of transactions for 100 hypothetical customers. It contains purchases, recurring transactions, and salary transactions. The dataset is designed to simulate realistic transaction behaviours that are observed in ANZ’s real transaction data.

Search Engine AI based search engine that was trained on 25000 samples, feel free to train on up to 1.2M sample from kaggle dataset, link below StackS

VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion (Interspeech

Information Retrieval: Text Processing Group 13 Sequence of operations Install Requirements Add given wikipedia files to the corpus directory. Downloa

Siamese Deep Neural Networks for Semantic Text Similarity PyTorch A repository c

TUIFI Manager A cross-platform terminal-based file manager (and component), mean

Face-Recognition-based-Attendance-System A real time implementation of Attendance System in python. Pre-requisites To understand the implentation of F

Puesta en Producción de un modelo de aprendizaje automático con Flask y Heroku L

Easily train or fine-tune SOTA computer vision models from one training repository. SuperGradients Introduction Welcome to SuperGradients, a free open

IMBENS: Class-imbalanced Ensemble Learning in Python Language: English | Chinese/中文 Links: Documentation | Gallery | PyPI | Changelog | Source | Downl

torchinfo (formerly torch-summary) Torchinfo provides information complementary to what is provided by print(your_model) in PyTorch, similar to Tensor

Torchuq [logo here] TorchUQ is an extensive library for uncertainty quantification (UQ) based on pytorch. TorchUQ currently supports 10 representation

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble This is the code for reproducing the results of the paper Uncertainty-Bas

Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode

🌀 Pykka Pykka makes it easier to build concurrent applications. Pykka is a Python implementation of the actor model. The actor model introduces some

Bulk2Space Spatially resolved single-cell deconvolution of bulk transcriptomes using Bulk2Space Bulk2Space is a spatial deconvolution method based on

tsuserverMoS A Python-based server for Attorney Online, forked from RealKaiser/tsuserverCC Requires Python 3.7+ and PyYAML. Changes/additions from tsu

Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning" Getting started Prerequisites CUD

PixelSSL is a PyTorch-based semi-supervised learning (SSL) codebase for pixel-wise (Pixel) vision tasks. The purpose of this project is to promote the

CSD: Consistency-based Semi-supervised learning for object Detection (NeurIPS 2019) By Jisoo Jeong, Seungeui Lee, Jee-soo Kim, Nojun Kwak Installation

More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval, CVPR 2021. Ayan Kumar Bhunia, Pinaki nath Chowdh

LABES This is the code for EMNLP 2020 paper "A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised L

Sequence labeler This is a neural network sequence labeling system. Given a sequence of tokens, it will learn to assign labels to each token. Can be u

Flow Gaussian Mixture Model (FlowGMM) This repository contains a PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our pa

Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model Baris Gecer 1, Binod Bhattarai 1

Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Source code for AISTATS 2019 paper: Confidence-based Graph Convolutional Ne

Graph-based joint model with Nonignorable Missingness (GNM) This is a Keras implementation of the GNM model in paper ’Graph-Based Semi-Supervised Lear

G3NN This repo provides a pytorch implementation for the 4 instantiations of the flexible generative framework as described in the following paper: A

thanks to aphitorite for the beautiful logo! opal opal is a WIP transcompiled pr

SecretBox A simple Encrypted IM chat software Server & client based on Python3. Version 1.0 命令行版 安装步骤 Server 运行pip3 install -r requirements 安装依赖。 运行py

Aerospace Utilities About Module that contains commonly-used aerospace utilities for problem solving. Flight Condition: input altitude to compute comm

Raphael Raphael是一款基于Python3开发的插件式漏洞扫描工具。 Raphael is a vulnerability scanning too

lang lang is a simple stack based programming language written in Python. It can

In this project, two programs can help you take full agvantage of time on the model training with a remote server, which can push notification to your phone about the information during model training, like the model indices and unexpected interrupts. Then you can do something in time for your work.

Zero-shot-dual-iter-LLE The code of Zero-shot learning for low-light image enhancement based on dual iteration. You can get the real night image tests

Zoom Automation A python script that automatically joins a zoom meeting based on your timetable. What does it do? It performs the following processes:

Introduction QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and

PFHedge: Deep Hedging in PyTorch PFHedge is a PyTorch-based framework for Deep Hedging. PFHedge Documentation Neural Network Architecture for Efficien

Awesome Model-Based Reinforcement Learning This is a collection of research papers for model-based reinforcement learning (mbrl). And the repository w

ElegantRL “小雅”: Scalable and Elastic Deep Reinforcement Learning ElegantRL is developed for researchers and practitioners with the following advantage

Bianace Prediction Pytorch Model Main Results ETHUSDT from 2021-01-01 00:00:00 t

Blender-Game-Engine-Templates Blender Game Engine Game Type Templates Logic Bric

dbt-metabase Model synchronization from dbt to Metabase. If dbt is your source of truth for database schemas and you use Metabase as your analytics to

How to Implement a First-Order Low-Pass Filter in Discrete Time We often teach or learn about filters in continuous time, but then need to implement t

Lupyne is a search engine based on PyLucene, the Python extension for accessing Java Lucene. Lucene is a relatively low-level toolkit, and PyLucene wr

cfdm A Python reference implementation of the CF data model. References Compliance with FAIR principles Documentation https://ncas-cms.github.io/cfdm

NiceGUI NiceGUI is an easy to use, Python-based UI framework, which renderes to the web browser. You can create buttons, dialogs, markdown, 3D scences

pyTB Turn based roguelike in python Documentation can be found here: http://mcgillij.github.io/pyTB/index.html Screenshot Dependencies Written in Pyth

Fully automatic light management based on motion as AppDaemon app. 🕓 multiple daytimes to define different scenes for morning, noon, ... 💡 supports

Fast DRF Fast DRF is a small library for making API faster with Django and Django REST Framework. It's easy and configurable. Full Documentation here

Process Events In Style This library aims to simplify the common pattern of event processing. It simplifies the process of filtering, dispatching and

CONTRIBUTORS WANTED!! Installation pip install python-soql-parser or, with poetry poetry add python-soql-parser Usage from python_soql_parser import p

Implementation of an attack on a tropical algebra discrete logarithm based protocol This code implements the attack detailed in the paper: On the trop