ML Ops
Explore 799 open source projects in ML Ops
Showing 621-640 of 799 projects
Replicable-MARL/MARLlib
Replicable multi-agent reinforcement learning library with support for PyTorch, Ray, and RLlib.
TRI-ML/packnet-sfm
A PyTorch library for monocular depth estimation using deep learning techniques.
DeepGraphLearning/graphvite
A high-performance graph embedding system that supports CUDA and can be used for machine learning and knowledge graph applications.
tensorflow/model-analysis
This is a set of model analysis tools for TensorFlow, enabling developers to evaluate and optimize their machine learning models.
AtheMathmo/rusty-machine
A machine learning library for the Rust programming language.
hollance/Forge
Forge is a neural network toolkit for Metal, enabling efficient deep learning on iOS devices.
amaiya/ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
BICLab/SpikingBrain-7B
Spiking Brain-inspired Large Models with efficient attention, MoE, and spike encoding for AI and ML developers.
MilaNLProc/contextualized-topic-models
A Python package to run contextualized topic modeling, combining BERT embeddings and topic models.
reiinakano/xcessiv
A Python library for automated hyperparameter tuning and ensemble learning using scikit-learn.
TheEconomist/us-potus-model
This is a dynamic multilevel Bayesian model for predicting US presidential elections, written in R and Stan.
yahoo/CaffeOnSpark
Distributed deep learning on Hadoop and Spark clusters for vibe coders.
bytedance/flux
A fast communication-overlapping library for tensor/expert parallelism on GPUs, useful for AI/ML applications.
AIoT-MLSys-Lab/Efficient-LLMs-Survey
A comprehensive survey of efficient large language models for AI and machine learning systems.
WillKoehrsen/machine-learning-project-walkthrough
A machine learning project walkthrough in Python demonstrating the end-to-end ML pipeline on a real-world dataset.
aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
Guidance for training an AWS DeepRacer model using Amazon SageMaker, providing developers full control over the process.
The-AI-Summer/Deep-Learning-In-Production
This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.
tf-encrypted/tf-encrypted
A framework for encrypted machine learning in TensorFlow, enabling confidential computing and privacy-preserving AI.
kjw0612/awesome-random-forest
A curated list of resources for the random forest machine learning algorithm.
BR-IDL/PaddleViT
PaddleViT is a state-of-the-art Visual Transformer and MLP model library for the PaddlePaddle 2.0+ deep learning framework.
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