Nikita Lisitsyn 's repositories
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
azure-sdk-for-js
This repository is for active development of the Azure SDK for JavaScript (NodeJS & Browser). For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/javascript/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-js.
build-your-own-x
🤓 Build your own (insert technology here)
bybit-smm
bybit simple market maker
cs9dotnet5
Repository for the Packt Publishing book titled "C# 9 and .NET 5 - Modern Cross-Platform Development" by Mark J. Price
DILATE
Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
DLinear
This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"
egghead.space
egghead.space is a place to share ideas for side projects
FinRL
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
FinRL_Podracer
FinRL-Podracer is a cloud solution.
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
LSTM_encoder_decoder
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
mvts_transformer
Multivariate Time Series Transformer, public version
NLPLabs-2022
Lab sessions for NLP course
SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
Stock-Market-Index-Prediction
This repo deals with time series prediction using LSTMs. An encoder-decoder architecture was used for this purpose. A dual-stage attention mechanism (DA-RNN) has been used in addition to it.
Temporal_Fusion_Transform
Pytorch Implementation of Google's TFT
Weapon-Detection-And-Classification
Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs.