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data-augmentation-review 是一个学习资料，用于系统学习与查阅。

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

awesome-AI-for-time-series-papers 是一个资源清单，按主题汇总同类优质资源。

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

imodels 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

openTSNE 是用 Python 编写的学习资料，用于系统学习与查阅，主打可扩展。

Extensible, parallel implementations of t-SNE

pet 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

DAT8 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

General Assembly's 2015 Data Science course in Washington, DC

infer 是用 C# 编写的学习资料，用于系统学习与查阅。

Infer.NET is a framework for running Bayesian inference in graphical models

goml 是用 Go 编写的学习资料，用于系统学习与查阅。

On-line Machine Learning in Go (and so much more)

aws-machine-learning-university-accelerated-cv 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Machine Learning University: Accelerated Computer Vision Class

minisom 是用 Python 编写的学习资料，用于系统学习与查阅。

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

uni2ts 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Unified Training of Universal Time Series Forecasting Transformers

voyager 是用 C++ 编写的学习资料，用于系统学习与查阅。

🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

awesome-generative-ai-data-scientist 是一个 AI 工具，用于人工智能方向的建模与推理。

A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist…

ExtractThinker 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打功能完整、可扩展。

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

uncertainty-baselines 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

High-quality implementations of standard and SOTA methods on a variety of tasks.

polymath 是用 Python 编写的多媒体工具，用于处理音视频内容。

Convert any music library into a music production sample-library with ML

DataProfiler 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

What's in your data? Extract schema, statistics and entities from datasets

Macaw-LLM 是用 Python 编写的学习资料，用于系统学习与查阅。

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

awesome-vector-search 是一个资源清单，按主题汇总同类优质资源。

Collections of vector search related libraries, service and research papers

Semi-supervised-learning 是用 Python 编写的学习资料，用于系统学习与查阅。

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

uis-rnn 是用 Python 编写的学习资料，用于系统学习与查阅。

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Sp…

poker_ai 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打开源免费。

🤖 An Open Source Texas Hold'em AI

keras-contrib 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Keras community contributions

DiffDock 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking