InanisV
Follow
Stars
About Fastbot(2.0) is a model-based testing tool for modeling GUI transitions to discover app stability problems
Jung132914 / Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Forked from AI4Finance-Foundation/FinRL-TradingDeep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curatio…
NocoBase is an extensibility-first, open-source no-code/low-code platform for building business applications and enterprise solutions.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
🍭 Wow, such a lovely HTML5 danmaku video player
Crypto Wallet Tracker is a Python Telegram bot that tracks added ETH and BNB wallets and notifies users of new transactions.
Vegvisir is an automated testing framework for orchestrating prototypical QUIC-HTTP/3 client-server communications using simulated network conditions.
dolfies / discord.py-self
Forked from Rapptz/discord.pyA fork of the popular discord.py for user accounts.
a framework 🏗 for trading with tradingview webhooks!
A suggested learning path for blockchain development
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
PDF and Excel report generation library. Reports can be designed with reportbro-designer, a javascript plugin.
The Microsoft Bot Framework provides what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and …
A Unity application for receiving and rendering point clouds on Hololens and other devices.
Blockchain dark forest selfguard handbook. Master these, master the security of your cryptocurrency.
Stock price forecasting stuff with BERT
Financial Markets Data Visualization using Matplotlib
Pytorch implementation of cnn network
CNN for stock market prediction using raw data & candlestick graph.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
Reusable CNN and RNN model doing time series binary classification
a implement of LSTM using Keras for time series prediction regression problem
time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting
This curated list contains python packages for time series analysis