ML Ops
Explore 798 open source projects in ML Ops
Showing 761-780 of 798 projects
openai/blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution, useful for AI/ML developers.
orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch
A PyTorch implementation of Prototypical Networks for Few-Shot Learning, a powerful technique for training AI models on small datasets.
MatthieuCourbariaux/BinaryNet
A Python library for training deep neural networks with weights and activations constrained to +1 or -1.
mlr-org/mlr3
mlr3 is a next-generation machine learning framework in R that provides a unified API for various ML tasks.
keras-team/keras-cv
Keras-CV is an industry-strength Computer Vision library for Python that provides robust, high-performance computer vision workflows.
tensorflow/tfjs-node
A TypeScript library for training and deploying machine learning models on Node.js using TensorFlow.
lhelontra/tensorflow-on-arm
A library for running TensorFlow on Arm-based devices like Raspberry Pi, enabling machine learning on edge devices.
uber/fiber
Distributed Computing for AI Made Simple - a Python library for building scalable AI workflows.
TorchEnsemble-Community/Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve model performance and robustness.
worldcoin/awesome-zkml
An awesome curated list of zero-knowledge machine learning resources for developers.
Shawn1993/cnn-text-classification-pytorch
A PyTorch library for building CNN-based text classification models.
Ligo-Biosciences/AlphaFold3
Open-source implementation of the AlphaFold3 deep learning model for protein structure prediction.
thuml/TimesNet
TimesNet is an open-source library for temporal 2D-variation modeling and general time series analysis.
geoopt/geoopt
A library for Riemannian optimization methods with PyTorch, enabling efficient optimization on Riemannian manifolds.
TIBCOSoftware/snappydata
SnappyData is a memory-optimized analytics database based on Apache Spark and Apache Geode, enabling real-time stream processing, transactions, and predictive analytics.
jsyoon0823/TimeGAN
A codebase for Time-series Generative Adversarial Networks (TimeGAN), a deep learning model for time series data generation.
1e0ng/simhash
A Python implementation of the Simhash algorithm for near-duplicate detection.
adventuresinML/adventures-in-ml-code
A repository with code samples for a website focused on machine learning and data science.
gusye1234/LightGCN-PyTorch
A PyTorch implementation of LightGCN, a graph convolutional network for recommender systems.
yashbhalgat/HashNeRF-pytorch
A pure PyTorch implementation of the NVIDIA paper on Instant Training of Neural Graphics Primitives.
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