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Results: 149
greyhatguy007
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
pytorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
openmlsys
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
MorvanZhou
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
PennyLaneAI
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
tslearn-team
The machine learning toolkit for time series analysis in Python
ml-tooling
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
NeuromatchAcademy
NMA Computational Neuroscience course
Trusted-AI
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
aadi1011
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more wit…
