Showing 1081-1100 of 3,069 projects
This repository is a shell script that helps developers identify projects eligible for Xcode's Large Language Model (LLM) integration.
A simplified interface for TensorFlow that mimics Scikit Learn for building deep learning models.
A tactical manual to systematically maximize the performance of your deep learning models.
A Python-based emotional companionship program powered by large language models (LLMs) for building AI-driven chatbots and virtual characters.
A digital avatar conversational system that combines large language models with visual models for novel human-AI interaction.
A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.
A collection of optimizers for PyTorch, including advanced algorithms for AI/ML model training.
A Python library for efficient video generative modeling using pyramidal flow matching techniques.
TensorFlow API for .NET languages, enabling .NET developers to build machine learning models.
Pretrained language model and optimization techniques for large-scale distributed AI/ML development.
A highly customizable Android application framework with MVVM, MVP, Dagger2, Retrofit, and RxJava architectures.
A Python library for evaluating the capabilities of large language models trained on code.
An advanced multimodal AI model series for vision-language reasoning, developed by Skywork AI.
An open-source video generation ecosystem built on top of diffusion models for AI-powered video synthesis.
An open-source 3D modeling software for creating low-poly 3D models for games, 3D printing, and more.
A set of guidelines for building RESTful APIs and Events, created by Zalando.
django-reversion provides version control for Django model instances, allowing you to track and revert changes.
An open specification for building cloud-native, distributed applications with microservices and Kubernetes.
MTEB is a benchmark for evaluating and comparing text embedding models across multiple tasks and languages.
Shapash is a library that provides user-friendly explainability and interpretability for machine learning models.
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