imwan Goto Github PK

-open-source-datasets-for-data-science

Best free, open-source datasets for data science and machine learning projects. Top government data including census, economic, financial, agricultural, image datasets, labeled and unlabeled, autonomous car datasets, and much more. Data.gov NOAA - https://www.ncdc.noaa.gov/cdo-web/ atmospheric, ocean Bureau of Labor Statistics - https://www.bl

abmlcausm

Agent Based Machine Learning Causation Models

algorithmic-trading-in-the-forex-market

FOREX Market analysis on target feature DEXUSUK

applied-social-network-analysis-in-python-course-work-quizzes-and-assignments-

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-deep-graph-clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

ctp-python

穿透式监管版本CTP接口的Python封装

dash-sample-apps

Apps hosted in the Dash Gallery

dash-stock-tickers-demo-app

Dash Demo App - Stock Tickers

data

deepwalk

DeepWalk - Deep Learning for Graphs

figasr

Lexicon-based Sentiment Analysis for Economic and Financial Applications in R

financial-models-numerical-methods

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

forex-dqn

Simple version of auto forex trader build upon the concept of DQN

fx_forecasting_model

Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"

gensim

Topic Modelling for Humans

get_all_tickers

Get all publicly traded tickers with this library

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

high-frequency-trading-model-with-ib

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

ib-trading-models-and-backtester

Modular trading models with Interactive Brokers and backtester in Python

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

katib

Repository for hyperparameter tuning

kbroman.github.io

Karl Broman's website

kerasgan

A couple of simple GANs in Keras

machine-learning-asset-management

Machine Learning in Asset Management (by @firmai)

macro_ml

Course Website on Macroeconomic Analysis with Machine Learning and Big Data

nbpresent

next generation slides for Jupyter Notebooks

openai-cookbook

Examples and guides for using the OpenAI API

otmisc-topic-modeling-tool

We created a topic modeling pipeline to evaluate different topic modeling algorithms, including their performance on short and long text, preprocessed and not preprocessed datasets, and with different embedding models. Finally, we summarized the results and suggested how to choose algorithms based on the task.

parl

A high-performance distributed training framework for Reinforcement Learning