aleksandryessin Goto Github PK

abot

A-Bot - бот для торговли на Binance

ay_airflow

binance-official-api-docs

Official Documentation for the Binance APIs and Streams

binance-spot-api-docs

Official Documentation for the Binance Spot APIs and Streams

cd-diagram

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

chatgpt

ChatGPT Native Application (Windows, Mac, Android, iOS, and Linux)

crypto-signal

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks

cryptocurrency-futures-trade-bot

The Robot that trades futures on Binance

cryptrack

Python Cryptocurrency Portfolio

dash

Dash - Reinventing Cryptocurrency

denoising-wavenet-pytorch

dilma

DILMA: Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers

dl-4-tsc

Deep Learning for Time Series Classification

easy-data-scripts

A few Python scripts to easily get data from the BitMEX API.

elevenlabs-python

The official Python API for ElevenLabs Text to Speech.

fault_diagnosis_using_hybrid_analytics

The purpose of this project is to generate the methodology for prescriptive analytics of dynamic equipment using hybrid modeling. The methodology allows predicting a specific place of that malfunction and its numeric value of the malfunction parameter. As an example of a dynamic system, the Industrial Gas Turbine is investigated. This project aims to use generated data of the real malfunction parameters for Oil and Hydraulic subsystems using mathematical modeling and then to build the regression model for predicting the index technical state (ITS) of each of the malfunctions.

gekko

A bitcoin trading bot written in node - https://gekko.wizb.it/

gitignore

A collection of useful .gitignore templates

gpt4all

gpt4all: run open-source LLMs anywhere

graf

Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

layerzero-v2

like-prediction

Yandex Cup 2022 - ML RecSys

logistic-elm

A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.

lstm-initstates

The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"

lstm-lifetime-estimation

This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.

lstm-stock-predictor

Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated from https://arxiv.org/abs/1912.07700 and https://arxiv.org/abs/1010.3003.

markdown-cells---jupyter-notebook

How to work through Markdown cells in Jupyter notebook.

ml2021_seminars

Repository containing seminars from 2021 Machine Learning course at Skoltech

mybookbot

Добро пожаловать! Это бот-книга, который удобно читать прямо в телеграмме. При этом будет навигация по оглавлению, закладка на странице, где вы остановились и так далее. Возможно, это будет полезный бот, для тех, кто захочет распространять свою книгу таким оригинальным способом или для тех, кто захочет сделать платный доступ к своей книге.

mytinkoffportfoliooptimizer

My personal Tinkoff Investment portfolio optimizer