Python Test-stock-prediction-algorithms Resources

Documentation Simple and Easy Package --This is package for enabling basic linear and non-linear data structures and algos-- Data Structures Array Sta

The Diviner A complement to The Oracle for compilers class. Given some test cases, this program automatically queries the oracle and tests your compil

Graph Mining Author: Jiayi Chen Time: April 2021 Implemented Algorithms: Network: Scrabing Data, Network Construbtion and Network Measurement (e.g., P

stonky is a simple command line dashboard for monitoring stocks.

The Algorithms - Python All algorithms implemented in Python - for education Implementations are for learning purposes only. As they may be less effic

CartoonGAN-Test-Pytorch-Torch Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]. With the released pretrained models by the authors,

CTC Decoding Algorithms Update 2021: installable Python package Python implementation of some common Connectionist Temporal Classification (CTC) decod

Colour - HDRI A Python package implementing various HDRI / Radiance image processing algorithms. It is open source and freely available under the New

Colour - Demosaicing A Python package implementing various CFA (Colour Filter Array) demosaicing algorithms and related utilities. It is open source a

labml.ai Deep Learning Paper Implementations This is a collection of simple PyTorch implementations of neural networks and related algorithms. These i

Rethinking Transformer-based Set Prediction for Object Detection Here are the code for the ICCV paper. The code is adapted from Detectron2 and AdelaiD

[NeurIPS 2021 Spotlight] HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning [Paper] This is Official PyTorch implementatio

PG2Net PG2Net:Personalized and Group Preference Guided Network for Next Place Prediction Datasets Experiment results on two Foursquare check-in datase

Understanding the network formation pattern for better link prediction Authors: [email protected] [email protected] Overview: Link prediction using M

Simultaneous Demand Prediction and Planning Dependencies Python packages: Pytorch, scikit-learn, Pandas, Numpy, PyYAML Data POI: data/poi Road network

Fast recommendation algorithms for large graphs based on link analysis. License: Apache Software License Author: Emmanouil (Manios) Krasanakis Depende

LDNet Author: Wen-Chin Huang (Nagoya University) Email: [email protected] This is the official implementation of the paper "LDNet

JumpDetectR Name of QuantLet : JumpDetectR Published in : 'To be published as "Jump dynamics in high frequency crypto markets"' Description : 'Scala

Graph2SMILES A graph-to-sequence model for one-step retrosynthesis and reaction outcome prediction. 1. Environmental setup System requirements Ubuntu:

HF2-VAD Offcial implementation of "A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Predictio

PyTorch implementation of Constrained Policy Optimization (CPO) This repository has a simple to understand and use implementation of CPO in PyTorch. A

Wafer Fault Detection using MlOps Integration This is an end to end machine learning project with MlOps integration for predicting the quality of wafe

Diabetes Prediction with Logistic Regression Exploratory Data Analysis Data Preprocessing Model & Prediction Model Evaluation Model Validation: Holdou

TestRank in Pytorch Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li, Min Li, Qiuxia Lai, Ya

VMI API API for obtaining results from the Beery-Bukenica test of the visomotor integration development (VMI) 4th edition. Install docker-compose up -

DMBGN: Deep Multi-Behaviors Graph Networks for Voucher Redemption Rate Prediction The implementation of the accepted paper "Deep Multi-Behaviors Graph

MGNN-SPred This is our Tensorflow implementation for the paper: WenWang,Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, and Hongyuan Zha. 2020. Bey

An index of recommendation algorithms that are based on Graph Neural Networks.

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction [Paper] [Official Paddle Implementation] [Huggingface Gradio Demo] [Unofficial

Kimimaro: Skeletonize Densely Labeled Images # Produce SWC files from volumetric images. kimimaro forge labels.npy --progress # writes to ./kimimaro_o

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

pokeemerald warp randomizer Randomizes the warps in a stock pokeemerald repo. Usage Instructions Install networkx and matplotlib via pip3 or similar.

Salary-Prediction-with-Machine-Learning 1. Business Problem Can a machine learning project be implemented to estimate the salaries of baseball players

Tindicators is a Python library to calculate the values of various technical indicators

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Training Efficiency We show the training efficiency of our DSLP model b

Sorting Algorithm Visualizer A gui application to visualize various sorting algorithms using pure python. Language : Python 3 Libraries required Tkint

Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators. Install

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo

Harvest is a Python based framework providing a simple and intuitive framework for algorithmic trading. Visit Harvest's website for details, tutorials

Demonstrate that UMAP and Leiden analysis is not reproducible between different cpu architectures.

Rethinking Transformer-based Set Prediction for Object Detection Here are the code for the ICCV paper. The code is adapted from Detectron2 and AdelaiD

DeepOrder Implementation of DeepOrder for the paper "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing". Project

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Training Efficiency We show the training efficiency of our DSLP model b

Companion code for "Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees" Installa

Variational Graph Auto-encoder in Pytorch This repository implements variational graph auto-encoder by Thomas Kipf. For details of the model, refer to

Pathfinding-Visualizer 🚀 A visualization tool made in Pygame for various pathfinding algorithms. Pathfinding is closely related to the shortest path

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Official Pytorch implementation of NeurIPS'21 paper "Motif-based Graph Se

this tool for dos and pentest vul SKILLS: syn flood udp flood $ git clone https://github.com/amicheh/demo_dosploit/ $ cd demo_dosploit $ python3 -m pi

Bangalore-House-Price-Prediction An end-to-end regression problem of predicting the price of properties in Bangalore. Deployed in Heroku using Flask.

Kite Helper - Download Stock Market Data 🌎 Website Simple Application to Download any stock market data in .csv format using Kite 🏃‍♂️ Running Serve

Repository Name Train-Test-Validation-Dataset-Generation App Name Patchify Description This app is designed for crop images and creating smal

RayLink RayLink is a RL framework used to build and train RL algorithms. RayLink was used to build a RL framework, and tested in a large-scale multi-a

🧬 Performant Evolutionary Algorithms For Python with Ray support

Network-Distributed Algorithm Experiments -- This repository contains a set of optimization algorithms and objective functions, and all code needed to

Relation Prediction as an Auxiliary Training Objective for Knowledge Base Completion This repo provides the code for the paper Relation Prediction as

MPI Algorithms Interest Group Introduction Lecturer: Steve Yan Location: TBA Time Schedule: TBA Semester: 1 Useful URLs Typora: https://typora.io Goog

Machine-Learning-Algorithms In this project, the dataset was created through a survey opened on Google forms. The purpose of the form is to find the p

This is an awesome balloon game. It is made in python using Pygame library. It is a project game while learning game development.

Leetcode solutions - All algorithms implemented in Python 3 (for education)

Fetch Flipkart product details including name, price, MRP and Stock details in general as well as specific to a pincode

Deep learning algorithms for muon momentum estimation in the CMS Trigger System The Compact Muon Solenoid (CMS) is a general-purpose detector at the L

Welcome to Apple In-store Monitor This is a monitor that are not fully scaled, and might still have some bugs.

Python Repositori ini berisi kumpulan dari berbagai macam contoh struktur data, algoritma dan komputasi matematika yang diimplementasikan dengan mengg

Project Azua 0. Overview Many modern AI algorithms are known to be data-hungry, whereas human decision-making is much more efficient. The human can re

Telco Customer Churn Prediction - Plotly Dash Application Description This dash application allows you to predict telco customer churn using machine l

Tickergram is a Telegram bot to look up quotes, charts, general market sentiment and more.

DockerApp A test Django application with production-level docker setup. Blog: https://medium.com/@siddharth.sahu/the-near-perfect-dockerfile-for-djang

DSA-Code-Snippet This repository is for adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages Cont

Python DSA 🐍 This repository is a compilation of important Data Structures and Algorithms based on Python. Please make seperate folders for different

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

Python desktop application to create, distribute, discover, and run codegames

Adaptive Task-Relational Context (ATRC) This repository provides source code for the ICCV 2021 paper Exploring Relational Context for Multi-Task Dense

VectorNet Re-implementation This is the unofficial pytorch implementation of CVPR2020 paper "VectorNet: Encoding HD Maps and Agent Dynamics from Vecto

🧬 Training the car to do self-parking using a genetic algorithm

Reinforcement learning framework and algorithms implemented in PyTorch.

A framework for large scale recommendation algorithms.

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

RealTime Sign Language Detection using Action Recognition Approach Real-Time Sign Language is commonly predicted using models whose architecture consi

Table of Contents: Introduction to Torch's Tensor Library Computation Graphs and Automatic Differentiation Deep Learning Building Blocks: Affine maps,

GitGoat is an open source tool that was built to enable DevOps and Engineering teams to design and implement a sustainable misconfiguration prevention strategy. It can be used to test with products with access to GitHub repositories without a risk to your production environment.

JackrabbitRelay Jackrabbit Relay is an API endpoint for stock, forex and cryptocurrency exchanges that accept REST webhooks. Disclaimer Please note RA

Django template for Docker + Heroku This is how I set up Django projects to get up and running as quick as possible. In includes a few neat things: De

This is a fork of Fairseq(-py) with implementations of the following models: Pervasive Attention - 2D Convolutional Neural Networks for Sequence-to-Se

Implementation of Deep-Forecast using PyTorch Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting Adapted from original implementation Setu

Advantage async actor-critic Algorithms (A3C) in PyTorch @inproceedings{mnih2016asynchronous, title={Asynchronous methods for deep reinforcement lea

Deep-Leafsnap Convolutional Neural Networks have become largely popular in image tasks such as image classification recently largely due to to Krizhev

PyTorch implementation of Deformable Convolution !!!Warning: There is some issues in this implementation and this repo is not maintained any more, ple

DEPRECATION This repository is deprecated and is no longer maintaned. Please see a more recent implementation of RL for continuous control at jax-sac.

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example o

Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in yo

DRF OpenAPI Tester This is a test utility to validate DRF Test Responses against OpenAPI 2 and 3 schema. It has built-in support for: OpenAPI 2/3 yaml

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction [arXiv] [Project Page] @inproceedings{ huang2021fapn, title={{FaPN}: Feature-alig

Compositionally Generalizable 3D Structure Prediction In this work, We bring in the concept of compositional generalizability and factorizes the 3D sh

The flowchart from the AWS IAM policy evaluation documentation page, as of 2021-09-12, and dating back to at least 2018-12-27, is the following: The f

MyTT Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! to Stock Market Financial Technical Analysis Python

Rocket-Classify Rafael Project- Classifying rockets to different types using data science algorithms. In this project we received data base with data

Python module ordered ordered module is the opposite to random - it maintains order in the program. import random x = 5 def increase(): global x

MVGCN MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks. Developer: Fu Hait

Automatic test case generation for python and static analysis library