ML Ops
Explore 799 open source projects in ML Ops
Showing 241-260 of 799 projects
openai/glide-text2im
GLIDE is a diffusion-based text-conditional image synthesis model that allows developers to generate images from text descriptions.
christianversloot/machine-learning-articles
A collection of articles on machine learning concepts and techniques by the author
apple/tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
MrForExample/ComfyUI-3D-Pack
An extensive node suite that enables ComfyUI to process 3D inputs using cutting-edge algorithms.
MrGemy95/Tensorflow-Project-Template
This is a best practice for a TensorFlow project template architecture for developers building AI-powered applications.
ploomber/ploomber
Ploomber is a fast and versatile tool for building and deploying data pipelines that can be used with a variety of AI and ML tools.
iree-org/iree
A retargetable MLIR-based machine learning compiler and runtime toolkit for AI/ML developers.
alibaba/Alink
Alink is a machine learning algorithm platform built on Apache Flink, developed by Alibaba's PAI team.
twitter/AnomalyDetection
An R library for detecting anomalies in time series data using statistical models.
apache/singa
A distributed deep learning platform for building and deploying AI models at scale.
BeastByteAI/scikit-llm
Seamlessly integrate large language models (LLMs) like ChatGPT into scikit-learn machine learning pipelines.
microsoft/tensorwatch
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
tensorflow/adanet
A flexible AutoML framework with learning guarantees for building high-performance AI models.
hyperai/tvm-cn
This repository provides the Chinese Simplified documentation for the TVM (Tensor Virtual Machine) framework, a popular open-source deep learning compiler stack.
dair-ai/ML-Notebooks
A collection of Jupyter Notebooks providing tutorials and examples for machine learning and deep learning using Python and PyTorch.
MTG/essentia
A C++ library for audio and music analysis, description, and synthesis, with Python bindings.
data-science-on-aws/data-science-on-aws
This GitHub repository provides AI and Machine Learning tutorials and examples using Kubeflow, Amazon EKS, and SageMaker.
fastai/course22
The fast.ai course notebooks, a resource for developers to learn deep learning and machine learning using the fastai library.
MilesCranmer/PySR
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
facebookresearch/fairscale
PyTorch extensions for high performance and large scale training.
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