Showing 161-180 of 799 projects
An open-source anomaly detection library with state-of-the-art algorithms and features like experiment management and edge inference.
A TensorFlow implementation of DeepMind's WaveNet paper for generating high-quality speech audio.
A curated list of resources related to domain adaptation, a technique used to improve AI model performance on new datasets.
PyTorch implementation of Graph Convolutional Networks, a powerful machine learning technique for graph data.
A Cloud Native Batch System for running AI/ML workloads on Kubernetes at scale.
High-performance data engine for AI and multimodal workloads, processing images, audio, video, and structured data at scale.
Reference models and tools for Cloud TPUs, a hardware accelerator for machine learning.
High-performance TensorFlow library for quantitative finance applications.
SynapseML is a simple and distributed machine learning library for building and deploying AI models at scale.
Core ML tools for converting, editing, and validating machine learning models for deployment.
A user-friendly template for ML experimentation using PyTorch Lightning and Hydra.
A Python library that uses WiFi signals and machine learning to predict your location.
A Python library for probabilistic time series modeling and forecasting, useful for data scientists and ML engineers.
A high-performance machine learning library for CUDA-enabled GPUs, accelerating data science workflows.
A Python library of extension and helper modules for data analysis and machine learning.
PyTorch implementation of the MoCo self-supervised learning framework for computer vision tasks.
A PyTorch template for deep learning projects with easy setup and organization.
A Python library for learning machine learning and deep learning using PyTorch and Scikit-Learn.
SANA is an efficient high-resolution image synthesis library using a linear diffusion transformer.
Run Keras models in the browser, with GPU support using WebGL
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