Evaluate
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
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81–96 / 138
Results: 138
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Lightning-AI
Machine learning metrics for distributed, scalable PyTorch applications.
asyml
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
pykeio
Fast ML inference & training for ONNX models in Rust
VowpalWabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search,…
salesforce
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal ha…
ermig1979
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
fairlearn
A Python package to assess and improve fairness of machine learning models.
A library for training and deploying machine learning models on Amazon SageMaker
ahmedfgad
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
TommyLemon
☔ 敏捷开发最强大易用的接口工具,机器学习零代码测试与 AI 问答、生成代码与静态检查、生成文档与光标悬浮注释,腾讯、华为、SHEIN、传音、工行等使用 ☔ The most advanced tool for HTTP API. Machine learning no-code testing and AI assistant, ge…
Tanu-N-Prabhu
This repository helps you learn Python and Machine Learning from scratch.
tensorflow
An open-source Python framework for hybrid quantum-classical machine learning.
kubeflow
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
NLP-LOVE
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
fastmachinelearning
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Video-generation prompts, B-roll, Vox-style explainers, camera direction, captions, and creative-production workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.