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joker_ssh's Projects

0dte-trader icon 0dte-trader

Trade 0DTE options algorithmically using Interactive Brokers (IBKR) API.

algotrader icon algotrader

This is a repository dedicated to an Algorithmic Trading Bot. Due to privacy concerns, I will not be posting the script I wrote which trades Alpaca API. However, all resources I have used, as well as Jupyter Notebooks used for my personal research are posted below.

audiocraft icon audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

autotraderbot icon autotraderbot

AutoTraderBot is a Python-based automated trading bot designed to execute trades in the financial markets using machine learning sentiment analysis. It utilizes Alpaca as the brokerage platform for executing trades and Yahoo Finance data for backtesting.

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

baiduwp icon baiduwp

Ways to speed up downloading in Baidupan.

coinbase-api-basic-playground icon coinbase-api-basic-playground

A Python Jupyter Notebook that gives a good overview of how to connect to the new Coinbase Cloud Rest API. It also shows how to add advanced trading indicators to the public data and how to visualize the data.

cpu icon cpu

piplined CPU written by verilog

crypto-trading-bot icon crypto-trading-bot

Implementation of a Statistical Arbitrage Trading Strategy in Python. Live testing with the Coinbase Pro API.

cryptotradingbot icon cryptotradingbot

A work-in-progress trading bot to trade crypto at a daily rate using the robinhood API

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论(STAT 157)”教材。

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

deconvnet icon deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

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