Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Ml AutomationReview before use
3.7KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Results · “multimodal-learning”
65–80 / 99
More filters
Results: 99
Rl
pytorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Ml AutomationReview before use
3.5KGitHub
2.6KGitHub
Pennylane
PennyLaneAI
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…
Ml AutomationReview before use
3.3KGitHub
Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Ml AutomationReview before use
3.2KGitHub
Tslearn
tslearn-team
The machine learning toolkit for time series analysis in Python
Ml AutomationReview before use
3.2KGitHub
Opyrator
ml-tooling
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
Ml AutomationReview before use
3.1KGitHub
Physicsnemo
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Ml AutomationReview before use
3KGitHub
AIF360
Trusted-AI
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.
Ml AutomationReview before use
2.8KGitHub
2.7KGitHub
Asl Ml Immersion
GoogleCloudPlatform
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
Ml AutomationReview before use
2.6KGitHub
Kubernetes Learning Path
techiescamp
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
DevopsReview before use
7.6KGitHub
Machine Learning For Trading
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
FinanceReview before use
19.3KGitHub
Machine Learning Interviews
alirezadir
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Agent FrameworksReview before use
8.8KGitHub
PaddleSpeech
PaddlePaddle
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System,…
Media AutomationReview before use
12.6KGitHub
Doctr
mindee
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Document ProcessingReview before use
6.1KGitHub
External platform skills
Browse external directory →Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.