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d2l-ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Camb…
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Results: 34
d2l-ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Camb…
sktime
A unified framework for machine learning with time series
dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
flairNLP
A very simple framework for state-of-the-art Natural Language Processing (NLP)
kyegomez
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
obss
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
deepjavalibrary
An Engine-Agnostic Deep Learning Framework in Java
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
leptonai
A Pythonic framework to simplify AI service building
ainfosec
The RF and reverse engineering framework for everyone. Follow and ★ to show your support!
tensorflow
An open-source Python framework for hybrid quantum-classical machine learning.
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