ML Ops
Explore 799 open source projects in ML Ops
Showing 581-600 of 799 projects
tancik/fourier-feature-networks
This is a library that explores using Fourier features to help neural networks learn high-frequency functions.
BIT-DataLab/LakeBench
A Python-based benchmarking framework for evaluating large-scale machine learning models and datasets.
marl/crepe
Pre-trained model for pitch estimation from audio, useful for music information retrieval tasks.
erwincoumans/tiny-differentiable-simulator
A header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
tensor-compiler/taco
Tensor Algebra Compiler (taco) is a C++ library for computing sparse tensor expressions on CPUs and GPUs.
Walter0807/MotionBERT
A PyTorch implementation of MotionBERT, a unified approach for learning human motion representations.
SE-ML/awesome-seml
A curated list of articles that cover software engineering best practices for building machine learning applications.
NervanaSystems/ngraph
nGraph is an open-source deep learning compiler framework that optimizes performance for various AI/ML models and runtimes.
rstudio/tensorflow
An R library for using the TensorFlow machine learning framework, enabling vibe coders to build AI-powered applications.
microsoft/X-Decoder
Official implementation of X-Decoder, a generalized decoding model for pixel, image, and language tasks.
wzy6642/Machine-Learning-in-Action-Python3
This is a Python 3 implementation of the examples from the book 'Machine Learning in Action'.
kuaikuaikim/dface
A deep learning-based face detection and recognition library implemented in PyTorch for developers working with computer vision.
mapillary/inplace_abn
An in-place activated BatchNorm implementation for memory-optimized training of deep neural networks.
gomlx/gomlx
GoMLX is an accelerated machine learning framework for Go, enabling high-performance AI/ML development.
kaz-Anova/StackNet
StackNet is a scalable meta-modeling framework for building high-performance predictive models.
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
A library for implementing hyperparameter optimization methods for machine learning and deep learning models.
kingfengji/gcForest
This is an open-source implementation of the deep forest machine learning algorithm for ensemble learning.
ARISE-Initiative/robomimic
A modular framework for robot learning from demonstration, focusing on AI-powered robotics and robotic simulation.
nok/sklearn-porter
A Python library that transpiles trained scikit-learn models to C, Java, JavaScript and other languages.
hukkelas/DeepPrivacy
A GAN-based tool for anonymizing faces in images, useful for privacy-preserving computer vision applications.
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