ikonushok

AI-Traiding

Neural Networks in Algotraiding

Hackathon-Finam-NN-Trade-Robot

Торговый робот с использованием нейросетей на основе компьютерного зрения для поиска определенных формаций на торговом графике акций, который используя лучшую обученную модель осуществляет торговые операции. ## A trading robot using neural networks based on computer vision to search for certain formations on a stock trading chart with live trading.

Investigating_graphnn

My_projects

Пилотные проекты для разных Заказчиков

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autocast

Forecasting Future World Events with Neural Networks

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

clearml_integration

CLIP

Contrastive Language-Image Pretraining

fastbook

The fastai book, published as Jupyter Notebooks

feature-engineering-for-machine-learning

Code repository for the online course Feature Engineering for Machine Learning

gluon-ts

Probabilistic time series modeling in Python

GraphConvolutionNetwork

Сверточная нейронная сеть на графах с быстрой локализованной спектральной фильтрацией на основе модели LeNet5

LSTM-XGBoost

LSTM-XGBoost Time Series Forecasting

Machine-Learning-Projects

This repository contains mini projects in machine learning with notebook files

nebullvm

Accelerate AI models leveraging best-of-breed optimization techniques 🚀

notebooks

code for deep learning courses

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

quantstats

Portfolio analytics for quants, written in Python

Reinforcement-Learning-Course

Недоделанный контент по обучению с подкреплением - на текущий момент ещё в разработке

Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

RL_PyTorch_Cookbook

тут мое обучение RL по книге Юси (Хэйден) Лю Обучение с подкреплением на PyTorch: сборник рецептов

Spiking-Neural-Network

Pure python implementation of SNN

torch-uncertainty

Uncertainty quantification library in PyTorch :seedling:

trendet

:chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:

ts2vg

Time series to visibility graphs.

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai