Algorithmic trading with deep learning experiments

Last update: Jan 02, 2023

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Overview

Deep-Trading

Algorithmic trading with deep learning experiments. Now released part one - simple time series forecasting. I plan to implement more sophisticated algorithms and their ensembles with different features, check their performance, train a trading strategy and go live.

Owner

Alex Honchar

Entrepreneur, AI practitioner, Educator https://bitclout.com/u/alexrachnog

GitHub Repository

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Introduction This is an official implementation of CvT: Introducing Convolutions to Vision Transformers. We present a new architecture, named Convolut

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PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

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Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

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357 Jan 06, 2023

Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition

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FuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space OptimizationFuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space Optimization

FuseDream This repo contains code for our paper (paper link): FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimizat

191 Dec 31, 2022

Python periodic table module

elemenpy Hello! elements.py is a small Python periodic table module that is used for calling certain information about an element. Installation Instal

2 Dec 27, 2021

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

Few-shot-NLEs These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations". You can find the smal

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Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)

Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe

93 Dec 15, 2022

Algorithmic trading with deep learning experiments

Related tags

Overview

Deep-Trading

Owner

Alex Honchar

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

Cascading Feature Extraction for Fast Point Cloud Registration (BMVC 2021)

Visyerres sgdf woob - Modules Woob pour l'intranet et autres sites Scouts et Guides de France

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition

FuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space OptimizationFuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space Optimization

Python periodic table module

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)

A torch.Tensor-like DataFrame library supporting multiple execution runtimes and Arrow as a common memory format

Code for Efficient Visual Pretraining with Contrastive Detection

This repository contains source code for the Situated Interactive Language Grounding (SILG) benchmark

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