Showing 521-540 of 799 projects
MLBox is a powerful automated machine learning Python library that simplifies and accelerates the machine learning workflow.
A Python library for exploring music theory and scales, useful for vibe coders working with audio or music-related AI applications.
A Python-based video diffusion model for high-fidelity novel view synthesis
A Python library for generating reviews and discovering sentiment from text data.
A Python library for single image super-resolution using EDSR, WDSR, and SRGAN models.
A fast, embeddable column database written in Go, optimized for AI/ML workloads.
A Python library for differentiable robotics and pose estimation using deep learning and optimization.
A PyTorch implementation of Federated Learning, a distributed machine learning technique.
A Python library for creating multi-class confusion matrices, useful for evaluating machine learning models.
Brevitas is a PyTorch library for neural network quantization, enabling efficient hardware acceleration on FPGAs and other devices.
Implementation of various generative adversarial network (GAN) models in popular deep learning frameworks
A C++ library for factorization machines, a powerful model for predicting ratings or rankings.
Code repository for a book on feature engineering for machine learning
A Python library for named-entity recognition, part-of-speech tagging, and other NLP tasks using LSTM-CRF and ELMo models.
A Python library for implementing a recommender system, useful for developers building recommendation engines.
A header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3, useful for developers working with sensor data and estimation tasks.
A machine learning platform and recommendation engine built on Kubernetes for deployment on cloud platforms.
An open-source library for training and running state-of-the-art diffusion models in Python.
An ID3-based implementation of the ML Decision Tree algorithm in Ruby for use in machine learning projects.
A Python library that provides type annotations and dynamic checking for tensors' shape, dtype, and names.
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