Freqtrade Strategies
Strategies for Freqtrade, developed primarily in a partnership between @werkkrew and @JimmyNixx from the Freqtrade Discord.
Use these strategies at your own risk. We are not responsible for anything.
Trading Strategies for Freqtrade
Overview
PClean: A Domain-Specific Probabilistic Programming Language for Bayesian Data Cleaning
PClean: A Domain-Specific Probabilistic Programming Language for Bayesian Data Cleaning Warning: This is a rapidly evolving research prototype.
190 Dec 27, 2022
paper list in the area of reinforcenment learning for recommendation systems
paper list in the area of reinforcenment learning for recommendation systems
23 Jun 09, 2022
This program writes christmas wish programmatically. It is using turtle as a pen pointer draw christmas trees and stars.
Introduction This is a simple program is written in python and turtle library. The objective of this program is to wish merry Christmas programmatical
1 Dec 25, 2021
Dynamic wallpaper generator.
Wiki • About • Installation About This project is a dynamic wallpaper changer. It waits untill you turn on the music, downloads album cover if it's po
3 Sep 18, 2021
Deep learning (neural network) based remote photoplethysmography: how to extract pulse signal from video using deep learning tools
Deep-rPPG: Camera-based pulse estimation using deep learning tools Deep learning (neural network) based remote photoplethysmography: how to extract pu
138 Dec 17, 2022
PyTorch implementation of popular datasets and models in remote sensing
PyTorch Remote Sensing (torchrs) (WIP) PyTorch implementation of popular datasets and models in remote sensing tasks (Change Detection, Image Super Re
222 Dec 28, 2022
A general and strong 3D object detection codebase that supports more methods, datasets and tools (debugging, recording and analysis).
ALLINONE-Det ALLINONE-Det is a general and strong 3D object detection codebase built on OpenPCDet, which supports more methods, datasets and tools (de
5 Nov 03, 2022
MAUS: A Dataset for Mental Workload Assessment Using Wearable Sensor - Baseline system
MAUS: A Dataset for Mental Workload Assessment Using Wearable Sensor - Baseline system Getting started To start working on this assignment, you should
2 Aug 06, 2022
A library for low-memory inferencing in PyTorch.
Pylomin Pylomin (PYtorch LOw-Memory INference) is a library for low-memory inferencing in PyTorch. Installation ... Usage For example, the following c
3 Oct 26, 2022
ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプル
ByteTrack-ONNX-Sample ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプルです。 ONNXに変換したモデルも同梱しています。 変換自体を試したい方はByteT
16 Oct 26, 2022
[NeurIPS 2021] Garment4D: Garment Reconstruction from Point Cloud Sequences
Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point
112 Dec 23, 2022
A New Approach to Overgenerating and Scoring Abstractive Summaries
We provide the source code for the paper "A New Approach to Overgenerating and Scoring Abstractive Summaries" accepted at NAACL'21. If you find the code useful, please cite the following paper.
4 Apr 03, 2022
PyTorch code for EMNLP 2021 paper: Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System
Don’t be Contradicted with Anything!CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System This repository contains the PyTorch im
25 Sep 06, 2022
The VeriNet toolkit for verification of neural networks
VeriNet The VeriNet toolkit is a state-of-the-art sound and complete symbolic interval propagation based toolkit for verification of neural networks.
9 Dec 21, 2022
Disease Informed Neural Networks (DINNs) — neural networks capable of learning how diseases spread, forecasting their progression, and finding their unique parameters (e.g. death rate).
DINN We introduce Disease Informed Neural Networks (DINNs) — neural networks capable of learning how diseases spread, forecasting their progression, a
19 Dec 10, 2022
A custom DeepStack model for detecting 16 human actions.
DeepStack_ActionNET This repository provides a custom DeepStack model that has been trained and can be used for creating a new object detection API fo
16 Nov 11, 2022
A production-ready, scalable Indexer for the Jina neural search framework, based on HNSW and PSQL
🌟 HNSW + PostgreSQL Indexer HNSWPostgreSQLIndexer Jina is a production-ready, scalable Indexer for the Jina neural search framework. It combines the
25 Oct 14, 2022
An educational resource to help anyone learn deep reinforcement learning.
Status: Maintenance (expect bug fixes and minor updates) Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that ma
7.6k Jan 09, 2023
Guided Internet-delivered Cognitive Behavioral Therapy Adherence Forecasting
Guided Internet-delivered Cognitive Behavioral Therapy Adherence Forecasting #Dataset The folder "Dataset" contains the dataset use in this work and m
0 Jan 08, 2022
Single-Shot Motion Completion with Transformer
Single-Shot Motion Completion with Transformer 👉 [Preprint] 👈 Abstract Motion completion is a challenging and long-discussed problem, which is of gr
78 Dec 29, 2022