Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

Last update: Dec 29, 2022

Overview

DeepStock

Technical experimentations to beat the stock market using deep learning.

Experimentations

Deep Learning Stock Prediction with Daily News Headline Analysis
- An attempt to find the correlation between the daily news headlines and DJIA index.
- More explained in this slide
Automated Trading Bot using Deep Learning
- Predicting a company's stock price based only on the price history of the company.
- Recurrent Neural Networks
- Convolutional Neural Networks
- Deep Q NetWorks
- In-progress
Complex Analysis on Stock using Deep Learning
- Take multiple features into account to predict the value of a company.
- In-progress
Portfolio Management using Deep Learning
- Planned
Macro Economics Analysis
- Currency and Macro-Tracking-ETFs
- Planned

Owner

Keon

GitHub Repository

EXplainable Artificial Intelligence (XAI)

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Adaptive FNO transformer - official Pytorch implementation

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DECAF: Deep Extreme Classification with Label Features

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Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

This repo is for the paper: Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration The DAC environment is based on the Dynam

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Auto White-Balance Correction for Mixed-Illuminant Scenes

Auto White-Balance Correction for Mixed-Illuminant Scenes Mahmoud Afifi, Marcus A. Brubaker, and Michael S. Brown York University Video Reference code

47 Nov 26, 2022

Bag of Tricks for Natural Policy Gradient Reinforcement Learning

Bag of Tricks for Natural Policy Gradient Reinforcement Learning [ArXiv] Setup Python 3.8.0 pip install -r req.txt Mujoco 200 license Main Files main.

1 Oct 10, 2022

FairyTailor: Multimodal Generative Framework for Storytelling

172 Dec 30, 2022

Implementation of Gans

GAN Generative Adverserial Networks are an approach to generative data modelling using Deep learning methods. I have currently implemented : DCGAN on

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functorch is a prototype of JAX-like composable function transforms for PyTorch.

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Constraint-based geometry sketcher for blender

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Study of human inductive biases in CNNs and Transformers.

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Official PyTorch implementation of "Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks" (AAAI 2022)

Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks This is the code for reproducing the results of th

2 Dec 27, 2021

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

Related tags

Overview

DeepStock

Experimentations

Owner

Keon

EXplainable Artificial Intelligence (XAI)

Adaptive FNO transformer - official Pytorch implementation

DECAF: Deep Extreme Classification with Label Features

Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

Auto White-Balance Correction for Mixed-Illuminant Scenes

Bag of Tricks for Natural Policy Gradient Reinforcement Learning

FairyTailor: Multimodal Generative Framework for Storytelling

Implementation of Gans

functorch is a prototype of JAX-like composable function transforms for PyTorch.

Constraint-based geometry sketcher for blender

Study of human inductive biases in CNNs and Transformers.

Official PyTorch implementation of "Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks" (AAAI 2022)

Code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection"

UniFormer - official implementation of UniFormer

Live Hand Tracking Using Python

Project page for the paper Semi-Supervised Raw-to-Raw Mapping 2021.

Implementation of CVPR'21: RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

A Python library for differentiable optimal control on accelerators.

Activating More Pixels in Image Super-Resolution Transformer

Text-to-Image generation