gylx

gylx's Stars

• arturbeg/reinforcement_learning_oe

  The work aims to explore Value based, Deep Reinforcment Learning (Deep Q-Learning and Double Deep Q-Learning) for the problem of Optimal Trade Execution. The problem of Optimal Trade Execution aims to find the the optimal "path" of executing a stock order, or in other words the number of shares to be executed at different steps given a time constraint, such that the price impact from the market is minimised and consequently revenue from executing a stock order maximised.

  Language:Python4910

• arturbeg/google_trends_consumption_prediction

  This work investigates the forecasting relationship between a Google Trends indicator and real private consumption expenditure in the US. The indicator is constructed by applying Kernel Principal Component Analysis to consumption-related Google Trends search categories. The predictive performance of the indicator is evaluated in relation to two conventional survey-based indicators: the Conference Board Consumer Confidence Index and the University of Michigan Consumer Sentiment Index. The findings suggest that in both in-sample and out-of-sample nowcasting estimations the Google indicator performs better than survey-based predictors. The results also demonstrate that the predictive performance of survey-augmented models is no different than the power of a baseline autoregressive model that includes macroeconomic variables as controls. The results demonstrate an enormous potential of Google Trends data as a tool of unmatched value to forecasters of private consumption.

  Language:Python402

• arturbeg/fractal_flutter

  Fractal is an ML-powered network of interconnected public chats that allows branching of chats into more focused “sub-chats”, thereby overcoming the problem of rapid conversation subject dilution and low engagement. Fractal aims to allow unacquainted individuals to spontaneously find and discuss niche topics of common interest in real-time.

  Language:Dart263

• QuantumBFS/Yao.jl

  Extensible, Efficient Quantum Algorithm Design for Humans.

  Language:Julia924121

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k12.9k

• MatchLab-Imperial/deep-learning-course

  Language:Jupyter Notebook9570

• federicosanna/InstrumentedGlove

  An instrumented glove equipped of flex sensors, accelerometers and strain gauges to capture the kinetics of the hand

  Language:C++43

• federicosanna/CoreMediaPlayer

  Language:Java31

• federicosanna/3D-scanner-for-finger

  Award-winning 3D scanner able to reconstruct a model of the finger and evaluate the progression of OA. Developed @ Imperial by me and other 5 colleagues.

  Language:Matlab52

• federicosanna/UNet-for-FEM-and-Stress-Distribution-Inference

  A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.

  Language:Python225

• federicosanna/arduino-primo-tutorials

  Here some tutorials to explain and show how to make use of the new features of the Arduino Primo and Arduino Primo Core, such as Wifi, BLE, NFC, InfraRed and various sensors. Hope you can find this helpful to create amazing stuff, save the planet or make a cool project to look smart at the dinning table with your uncles.

  Language:Arduino123

• pepecalvi93/LSSTM

  Least Squares Support Tensor Machine in Python

  Language:Python104