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Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Research on Tabular Deep Learning: Papers & Packages
Build resilient language agents as graphs.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Merlion: A Machine Learning Framework for Time Series Intelligence
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
Zotero plugin for auto-fetching citation counts from various sources
Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
HiPlot makes understanding high dimensional data easy
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Agent-based modeling framework in Julia
A repository of publicly available datasets for testing & demonstration purposes.
Building Andrej Karpathy's Makemore from scratch
Supercharge Your LLM Application Evaluations 🚀
AutoChain: Build lightweight, extensible, and testable LLM Agents
A Python implementation of LightFM, a hybrid recommendation algorithm.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A Python-embedded modeling language for convex optimization problems.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.