Popular GitHub Repositories for Sklearn Metrics

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

? Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. ?YC W23

The LLM Evaluation Framework

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI

Standardized Serverless ML Inference Platform on Kubernetes

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

a delightful machine learning tool that allows you to train, test, and use models without writing code

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Machine Learning University: Accelerated Natural Language Processing Class

Machine learning metrics for distributed, scalable PyTorch applications.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Basic Utilities for PyTorch Natural Language Processing (NLP)

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Using python and scikit-learn to make stock predictions

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.