zouhx11

zouhx11's Stars

• Light-City/CPlusPlusThings

  C++那些事

  Language:C++39k5502218.5k

• ccxt/ccxt

  A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

  Language:Python32.6k93410.2k7.5k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust29.5k1628.8k1.9k

• kaldi-asr/kaldi

  kaldi-asr/kaldi is the official location of the Kaldi project.

  Language:Shell14.2k6941.6k5.3k

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python13.1k2411.3k2.3k

• flet-dev/flet

  Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

  Language:Python11k1232k426

• speechbrain/speechbrain

  A PyTorch-based Speech Toolkit

  Language:Python8.6k1331.1k1.4k

• cantaro86/Financial-Models-Numerical-Methods

  Collection of notebooks about quantitative finance, with interactive python code.

  Language:Jupyter Notebook5.5k140151k

• khuyentran1401/Data-science

  Collection of useful data science topics along with articles, videos, and code

  Language:Jupyter Notebook4k14181k

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k75568713

• erdewit/ib_insync

  Python sync/async framework for Interactive Brokers API

  Language:Python2.8k181583748

• https-deeplearning-ai/tensorflow-1-public

  Language:Jupyter Notebook2.4k56312.6k

• nkaz001/hftbacktest

  A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

  Language:Rust1.8k5384362

• pypy/pypy

  PyPy is a very fast and compliant implementation of the Python language.

  Language:Python952174.9k55

• polygon-io/client-python

  The official Python client library for the Polygon REST and WebSocket API.

  Language:Python79927241210

• OpenSourceAP/CrossSection

  Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

  Language:Stata71934122215

• alpacahq/alpaca-py

  The Official Python SDK for Alpaca API

  Language:Python55539210136

• abdur75648/Deep-Learning-Specialization-Coursera

  This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

  Language:Jupyter Notebook40775344

• vollib/py_vollib

  Language:Python298162668

• harrytandata/airflow_course

  Language:Python1653150

• marcdemers/py_vollib_vectorized

  A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.

  Language:Python11971730

• mattsta/ib_insync

  Live upstream is now at https://github.com/ib-api-reloaded/ib_async; sadly, the orignial creator Ewald has died and now we must continue without his years of experience creating and growing this project. See the 'Discussions' tab for organization planning. Python sync/async framework for Interactive Brokers API

  Language:Python811116

• ndonkoHenri/Flet-Custom-Controls

  A collection of custom controls I made for use by flet devs.

  Language:Python39211

• cryptarbitrage-code/historical-volatility-calculations

  Language:Python291014

• StanislavPetrovV/Benchmark-2D

  Benchmark for testing the performance of 2D graphics for libraries Pygame, Arcade, Raylib

  Language:Python25104

• mandaw2014/Sandbox

  A Simple Fast Paced FPS made in Python using the Ursina Engine (wip)

  Language:Python21127

• ox-inet-resilience/resilience

  Language:Python10215

• davewang0125/datascience

  Language:Python2201

• TheShubham-K/Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning

  Course 4 of 4 in Tensor Flow Specialization by DeepLearning.ai

  Language:Jupyter Notebook22

• Abrar-Mustakim/Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning-Coursera

  Language:Jupyter Notebook1100