ML Ops
Explore 799 open source projects in ML Ops
Showing 481-500 of 799 projects
autonomio/talos
Hyperparameter optimization library for TensorFlow and Keras, focused on AI/ML model development.
intelligent-machine-learning/dlrover
DLRover is an automatic distributed deep learning system for training large-scale AI models on Kubernetes.
mhamilton723/FeatUp
A model-agnostic framework for extracting features from machine learning models at any resolution.
facebookresearch/pytorch_GAN_zoo
A collection of GAN implementations in PyTorch, including progressive growing of GANs.
Xtra-Computing/thundersvm
A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.
cdipaolo/goml
On-line Machine Learning library in Go for building AI-powered applications.
jakobrunge/tigramite
Tigramite is a Python library for causal inference and time series analysis with a focus on time series data.
calebwin/emu
A GPGPU library for Rust that enables write-once-run-anywhere GPU acceleration.
PaddlePaddle/PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
divamgupta/stable-diffusion-tensorflow
A TensorFlow/Keras implementation of the Stable Diffusion AI model for text-to-image generation.
SciML/ModelingToolkit.jl
A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.
google-research/circuit_training
A library for training AI models on circuit designs, likely useful for vibe coders working on AI-powered hardware.
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms for machine learning models.
ogrisel/parallel_ml_tutorial
A tutorial on using scikit-learn and IPython for parallel machine learning tasks.
qingsongedu/awesome-AI-for-time-series-papers
A curated list of papers, tutorials, and surveys on AI for time series analysis and forecasting.
yoshitomo-matsubara/torchdistill
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
patrickloeber/MLfromscratch
Open-source implementations of machine learning algorithms from scratch in Python.
PaddlePaddle/PGL
An efficient and flexible graph learning framework based on PaddlePaddle, with support for heterogeneous graphs and meta-path learning.
D-X-Y/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch for AI-driven developers.
carpedm20/deep-rl-tensorflow
A TensorFlow implementation of Deep Reinforcement Learning algorithms and papers.
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