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Synchronize directories using FTP(S), SFTP, or file system access.
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
An Engine-Agnostic Deep Learning Framework in Java
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Effortless data labeling with AI support from Segment Anything and other awesome models.
Stable Diffusion web UI
Official Code for DragGAN (SIGGRAPH 2023)
Visualize column-level data lineage in Spark SQL
State of the Art Natural Language Processing
CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTor…
🚀🎉📚 APITable, an API-oriented low-code platform for building collaborative apps and better than all other Airtable open-source alternatives.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A replica of the AlphaZero methodology for deep reinforcement learning in Python
A latent text-to-image diffusion model
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
A toolkit for developing and comparing reinforcement learning algorithms.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A game theoretic approach to explain the output of any machine learning model.
Library for reading and writing large multi-dimensional arrays.
Python package to extract Top-K Insights from multi-dimensional data
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…
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Python Library for Causal and Probabilistic Modeling using Bayesian Networks
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Markov Chains and Hidden Markov Models in Python