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An implementation of Pregel framework and graph algorithms on top of it with Ibis project DataFrames.
Replicate data from MySQL, Postgres and MongoDB to ClickHouse®
Python package for the creation, manipulation, and learning of Causal DAGs
Causal discovery algorithms and tools for implementing new ones
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https://arxiv.org/abs/2102.13647.
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
Make GNN easy to start with
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
For when people get too hyped up about things
🔥Highlighting the top ML papers every week.
Distribute and run LLMs with a single file.
RelBench: Relational Deep Learning Benchmark
Simple text to phones converter for multiple languages
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/
General technology for enabling AI capabilities w/ LLMs and MLLMs
List of Public Blogs of Hacker News users
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
A curated list of Polars talks, tools, examples & articles. Contributions welcome !