Showing 281-300 of 333 projects
An AI-powered platform for discovering and retrieving meme images and stickers
An all-in-one web UI for different audio-related neural networks, including text-to-speech, voice cloning, and generative music.
An open-source runtime for building and managing intelligent agents across local, cloud, and edge environments.
SincNet is a neural architecture for efficiently processing raw audio samples for speech and audio processing tasks.
A collection of Jupyter notebooks and tutorials on using LangChain and prompt engineering with large language models like ChatGPT.
An explainability toolbox for developers building machine learning models with interpretability and fairness in mind.
An AI-powered web app and API that analyzes basketball shots and shooting poses.
A Python library implementing various self-attention mechanisms for computer vision tasks.
A curated list of AI-powered web search tools and resources for developers and researchers.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
A TypeScript framework for building serverless AI agents with memory, easy to deploy with a single command.
A multimodal framework for drug discovery and therapeutic science research.
NFStream is a flexible network data analysis framework for network monitoring, security, and traffic classification.
A composable GAN framework with API and user interface for building generative AI models.
Automated Deep Learning without any human intervention, the first solution for the AutoDL challenge@NeurIPS.
A collection of deep learning experiments and tutorials to help developers understand and apply deep learning techniques.
Official PyTorch implementation of VoxFormer, a state-of-the-art 3D computer vision model for autonomous driving and scene understanding.
List of language agents based on paper 'Cognitive Architectures for Language Agents'
LakeSail is a Rust-based computation framework that unifies batch processing, stream processing, and AI workloads.
Distribute and run AI workloads on Kubernetes with a Python-based infrastructure toolkit like PyTorch.
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