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Discover 437 open source projects
Showing 361-380 of 437 projects
clvrai/awesome-rl-envs
This GitHub repository is a curated list of reinforcement learning environments, which can be useful for AI and ML researchers and developers.
mediar-ai/terminator
A Rust-based Playwright library for automating Windows computer tasks.
kitops-ml/kitops
An open-source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
ARM-software/armnn
A C++ library for running machine learning models on Arm hardware accelerators.
microsoft/MLOpsPython
MLOps tool for building and deploying machine learning models on Azure cloud services
pnnl/neuromancer
A PyTorch-based framework for solving constrained optimization problems, physics-informed ML, and parametric model predictive control.
apple/ml-neuman
Official repository for NeuMan, a neural human radiance field model from a single video.
logicalclocks/hopsworks
Hopsworks is a feature store and MLOps platform for data-intensive AI and machine learning applications.
tucan9389/awesome-ml-demos-with-ios
A collection of demo projects for running machine learning models on iOS using CoreML, TensorFlow Lite, and ML Kit.
SelfExplainML/PiML-Toolbox
A Python toolbox for building interpretable machine learning models and diagnostics.
TRI-ML/packnet-sfm
A PyTorch library for monocular depth estimation using deep learning techniques.
BICLab/SpikingBrain-7B
Spiking Brain-inspired Large Models with efficient attention, MoE, and spike encoding for AI and ML developers.
ZhugeKongan/torch-template-for-deep-learning
A PyTorch template with implementations of classical CNNs, data augmentation, losses, and common ML algorithms.
WillKoehrsen/machine-learning-project-walkthrough
A machine learning project walkthrough in Python demonstrating the end-to-end ML pipeline on a real-world dataset.
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.
mallahyari/ml-practical-usecases
A database of 650+ Machine Learning system design case studies from 100+ companies for developers.
yfzhang114/Generalization-Causality
A repository with research notes on domain generalization, causality, robustness, and other ML topics.
ml-tooling/best-of-python-dev
A ranked list of awesome Python developer tools and libraries updated weekly.
facebookresearch/simsiam
A PyTorch implementation of the SimSiam self-supervised learning algorithm, useful for AI and ML developers.
ARM-software/ML-KWS-for-MCU
A library for keyword spotting on Arm Cortex-M microcontrollers using machine learning and the CMSIS-NN framework.
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