ML Ops
Explore 799 open source projects in ML Ops
Showing 201-220 of 799 projects
locuslab/TCN
A library for sequence modeling benchmarks and temporal convolutional networks (TCN) in Python.
salesforce/Merlion
A Python framework for building advanced time series forecasting and anomaly detection models.
Kyubyong/transformer
A TensorFlow implementation of the Transformer, a popular deep learning model for natural language processing tasks.
NVlabs/stylegan2-ada-pytorch
An official PyTorch implementation of StyleGAN2-ADA, a state-of-the-art generative adversarial network for realistic image synthesis.
TingsongYu/PyTorch-Tutorial-2nd
A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.
tensorflow/probability
Probabilistic reasoning and statistical analysis tools built on TensorFlow for data scientists and ML researchers.
zotroneneis/machine_learning_basics
A collection of basic machine learning algorithm implementations in Python for educational purposes.
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
649453932/Bert-Chinese-Text-Classification-Pytorch
A repository that uses BERT and ERNIE to perform Chinese text classification, useful for vibe coders working with AI.
wzhe06/Ad-papers
Collection of research papers on computational advertising techniques like CTR prediction and recommender systems.
janhuenermann/neurojs
A JavaScript library for deep learning and reinforcement learning, with applications in areas like self-driving cars.
Azure/MachineLearningNotebooks
A collection of Python notebooks with machine learning and deep learning examples using the Azure ML SDK.
openvinotoolkit/open_model_zoo
A collection of pre-trained deep learning models and demos optimized for high performance using the OpenVINO toolkit.
IDSIA/sacred
Sacred is a tool to help configure, organize, log, and reproduce experiments for machine learning research.
facebookresearch/deit
The official DeiT repository for a PyTorch-based vision transformer model for image classification.
openxla/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators, useful for building AI-powered applications.
FedML-AI/FedML
A unified and scalable ML library for large-scale distributed training, model serving, and federated learning.
Nixtla/neuralforecast
Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.
quark0/darts
A differentiable architecture search library for convolutional and recurrent neural networks
deepchecks/deepchecks
Deepchecks is an open-source solution for thorough testing of ML models and data from research to production.
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