OPENAGENTSKILL / DIRECTORY
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Results: 317
alexeygrigorev
Data science interview questions and answers
ethen8181
:earth_americas: machine learning tutorials (mainly in Python3)
bespokelabsai
Synthetic data curation for post-training and structured data extraction
libAudioFlux
A library for audio and music analysis, feature extraction.
feature-engine
Feature engineering and selection open-source Python library compatible with sklearn.
4paradigm
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Eventual-Inc
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
grobidOrg
A machine learning software for extracting information from scholarly documents
datawhalechina
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
gorse-io
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
flairNLP
A very simple framework for state-of-the-art Natural Language Processing (NLP)
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…