gokhanyu's repositories
auto-causality
AutoML for causal inference.
AvalonDock
Our own development branch of the well known WPF document docking library
BIMT
Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Deedle
Easy to use .NET library for data and time series manipulation and for scientific programming
dysts
More than a hundred strange attractors
g5-aux
Raw data related to https://github.com/tig12/gauquelin5 program. Not directly used by gauquelin5 but useful to check and prepare future developments
gflownet
Generative Flow Networks
gflownet-1
A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
guidance
A guidance language for controlling large language models.
instagraph
Converts text input or URL into knowledge graph and displays
iris
Transformers are Sample Efficient World Models
LiveCharts2
Simple, flexible, interactive & powerful charts, maps and gauges for .Net, LiveCharts2 can now practically run everywhere Maui, Uno Platform, Blazor-wasm, WPF, WinForms, Xamarin, Avalonia, WinUI, UWP.
LTSF-Linear
This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"
lunar
Basic astronomical functions
modelsummary
Beautiful and customizable model summaries in R.
neural-physics-subspaces
Fit low-dimensional subspaces to physical systems with neural networks (SIGGRAPH 2023)
notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
pysr_paper
A paper describing the implementation of PySR and SymbolicRegression.jl
qdownload
IQFeed CSV market data download tool
qstrader
QuantStart.com - QSTrader backtesting simulation engine.
scalecast
The practitioner's forecasting library
SpotifyTranscripts
🎙️ subtitles for your favourite podcast
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
SynapseML
Simple and Distributed Machine Learning