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teomerefs 是一个学习资料，用于系统学习与查阅。

Guia de referências técnicas para carreira em dados

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

Survival analysis built on top of scikit-learn

awesome-conformal-prediction 是一个学习资料，用于系统学习与查阅，主打开源免费。

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source librari…

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

Arm NN ML Software.

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

A curated list of the most impressive AI papers

text-to-lora 是用 Python 编写的学习资料，用于系统学习与查阅。

Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input

pruna 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打速度快、轻量。

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

hlb-CIFAR10 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

easy-few-shot-learning 是用 Python 编写的学习资料，用于系统学习与查阅。

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

awesome-text-summarization 是一个学习资料，用于系统学习与查阅。

The guide to tackle with the Text Summarization

gcForest 是用 Python 编写的学习资料，用于系统学习与查阅。

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

EmbedAnything 是用 Rust 编写的 AI 工具，用于人工智能方向的建模与推理，主打高性能、内存安全、适合生产环境。

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

arkflow 是用 Rust 编写的数据库工具，用于数据存储与查询，主打高性能、功能完整、实时。

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent a…

hopsworks 是用 Java 编写的学习资料，用于系统学习与查阅。

Hopsworks - Data-Intensive AI platform with a Feature Store

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

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

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

A TensorFlow recommendation algorithm and framework in Python.

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

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

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

Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science

awesome-ml-demos-with-ios 是用 Python 编写的资源清单，按主题汇总同类优质资源。

The challenge projects for Inferencing machine learning models on iOS

dataframe-go 是用 Go 编写的学习资料，用于系统学习与查阅。

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

anystyle 是用 Ruby 编写的学习资料，用于系统学习与查阅，主打速度快。

Fast citation reference parsing

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

Convolutional neural network for analyzing pentest screenshots

musicinformationretrieval.com 是用 Jupyter Notebook 编写的多媒体工具，用于处理音视频内容。

Instructional notebooks on music information retrieval.

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课…

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更…