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Daemon to ban hosts that cause multiple authentication errors
Asynchronous Python PostgreSQL driver written in Rust
A game theoretic approach to explain the output of any machine learning model.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Interactive Brokers Fundamental data for humans
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
A code implementation of new papers in the time series forecasting field.
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books,…
A Python package for creating UpSet plots using Plotly
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"
NeurIPS 2023: Rank-DETR for High Quality Object Detection
RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift
Graph Positional and Structural Encoder
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
A playbook for systematically maximizing the performance of deep learning models.
Latex code for making neural networks diagrams
vix_utils provides command line tools and a a Python API for preparing data for analysing the VIX Futures and Cash Term structures. Term Structure data can be exported to excel (.xslx), csv, and pi…
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
This is an official pytorch implementation for paper "Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels" (NeurIPS-23).