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dqfd

An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning

dqn

pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0

earth-analytics-python-env

a demo repo to test the ea envt in binder

electronicmarkets

floatprocessor

Process Bio-Argo profiles with ease.

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

gymretro-rainbow

hft-orderbook

Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C

hft-price-prediction

A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

input_driven_rl_example

Variance Reduction for Reinforcement Learning in Input-Driven Environments (ICLR '19)

keras-rl

Deep Reinforcement Learning for Keras.

leecode

limit_orderbook_prediction

lstm_stock_price_prediction

LSTM神经网络预测沪深300指数及其涨跌

machine-learning-and-reinforcement-learning-in-finance-specialization

Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.

machinelearningstocks

Using python and scikit-learn to make stock predictions

ml-quantamental

Machine Learning-Driven Quantamental Investing

mlreview_notebooks

Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"

model-anthropogenic-heat-and-carbon

The files include the budget to anthropogenic heat and carbon storage tendency, and the passive and redistributive transport component for Cant and Hant.

multi-horizon-forecasting-for-limit-order-books

nash-dqn

Deep Reinforcement Learning for Nash Equilibria

ohw18_southern-ocean

OceanHackWeek analysis of biogeochemical data from multiple sources in the Southern Ocean

orderbook_modeling

Example of order book modeling.

orderimbalance

Order Imbalance Strategy in High Frequency Trading

polluted_cloud_tracks

Python code to detect polluted cloud pixels in satellite images

ppnn

post-processing experiments with neural networks

price_prediction_lob

Deep learning for price movement prediction using high frequency limit order data

py-nlp-applied-to-event-driven-investing-profit-warning-prediction

Applying NLP (Natural Language Processing) techniques to predict profit warnings using conference call transcripts

py-returns-performance_analysis

Python notebook to import a monthly returns series (stock, strategy, etf, etc) and analyze it using multifactor models and several portfolio analysis tools

py-using-alternative-data-to-anticipate-stocks-momentum-

Web scraping box office data and creation of weekly indices to anticipate a stock price and earnings momentum for “movie” stocks (e.g. Lionsgate)