kivvf Goto Github PK

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kivvf's Projects

py-googletrans

(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.

pychatgpt

⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

pyqt5-apps

:paperclip:Some useful apps based on PyQt5. | 谷歌翻译、bilibili视频下载、华科电费查询、猫耳FM音频下载、无损音乐下载、华科图书馆查询、词云生成器etc.

python-binance

Binance Exchange API python implementation for automated trading

pytrendfollow

PyTrendFollow - systematic futures trading using trend following

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

recurrent-reinforcement-learning-in-bitcoin-trading

Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

resemblyzer

A python package to analyze and compare voices with deep learning

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

scikit-feature

open-source feature selection repository in python

sentiment-analysis-in-event-driven-stock-price-movement-prediction

Use NLP to predict stock price movement associated with news

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

stock-analyser

:chart_with_upwards_trend: Stocks technical analysis code collection and Stocks data platform.

stock-market-trend-analysis-using-hmm-lstm

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stockpredictionai

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 Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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