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Explore the skillCode Repository for Machine Learning with PyTorch and Scikit-Learn
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Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
14 Skills
Results: 14
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Explore the skillCode Repository for Machine Learning with PyTorch and Scikit-Learn
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Explore the skillstefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Explore the skillprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
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Explore the skillml-tooling
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
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Explore the skillGoogleCloudPlatform
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
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Explore the skillahmedfgad
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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Explore the skillrunkids
📚 Sync skills across all AI CLI tools with one command and simplify team sharing. Supporting Codex, Claude Code, OpenClaw & more
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Explore the skillglebm
Manage translation and localization with static analysis, for Ruby i18n
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Explore the skillJimLiu
Open-source Agent Skill that drives the BaoCut macOS app CLI (transcribe · subtitle · translate · cut) from Claude Code, Codex, and other agents
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Explore the skillPaddlePaddle
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System,…
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Explore the skillstatsmodels
Statsmodels: statistical modeling and econometrics in Python
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Explore the skillmetalbear-co
Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic.
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Explore the skillTommyLemon
☔ 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…
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Explore the skillxuboyuebobb
Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.