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…

Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.

Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

Unified Training of Universal Time Series Forecasting Transformers

Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

Fast and Accurate ML in 3 Lines of Code

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

STUMPY is a powerful and scalable Python library for modern time series analysis

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

OpenAI 接口管理 & 分发系统，支持 Azure、Anthropic Claude、Google PaLM 2 & Gemini、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问、360 智脑以及腾讯混元，可用于二次分发管理 key，仅单可执行文件，已打包好 Docker 镜像，一键部署，开箱即用. OpenAI key management & redistributi…

Causal discovery algorithms and tools for implementing new ones

[Paper][ACL 2024 Findings] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

data-to-paper: Backward-traceable AI-driven scientific research

Kolmogorov Arnold Networks

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

An open source python library for automated feature engineering

Efficient few-shot learning with cross-encoders.

Efficient few-shot learning with Sentence Transformers

FSL-Mate: A collection of resources for few-shot learning (FSL).

Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

A curated list of datasets related to the application of Goal-oriented Prompt Engineering