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Efficiently find the best-suited language model (LM) for your NLP task
Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
Auto_Jobs_Applier_AI_Agent by AIHawk is an AI Agent that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an automated and p…
o1-engineer is a command-line tool designed to assist developers in managing and interacting with their projects efficiently. Leveraging the power of OpenAI's API, this tool provides functionalitie…
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
A scikit-learn compatible neural network library that wraps PyTorch
This is a short tutorial on how to set up an hpc account and how to install your environment. For more information find documentation of itc.rwth-aachen.de
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capa…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Software program for generating synthetic datasets for genotypes and phenotypes
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
A Comprehensive Toolkit for High-Quality PDF Content Extraction
A library of extension and helper modules for Python's data analysis and machine learning libraries.
IntelliGenes: AI/ML pipeline for predictive analyses using multi-genomic profiles.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Fast and customizable framework for automatic ML model creation (AutoML)
Hyper-parameter optimization for sklearn
Python implementations of the Boruta all-relevant feature selection method.
Awesome list of AutoML frameworks - curated by @oskar-j
A python library to automate feature selection process for machine learning projects.
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.