Showing 281-300 of 351 projects
This Python library speeds up the Qwen-Image model using distillation, a technique for AI model optimization.
An open-source toolkit for analyzing the internal workings of Transformer-based language models.
A high-performance image synthesis model with improved distribution matching distillation.
A diffusion-based video generation model for trajectory-oriented video synthesis.
FeatherCNN is a high-performance inference engine for convolutional neural networks.
Cross-modal image matching framework with large-scale pre-training for AI-powered coding tools.
An all-in-one inference optimization solution for ComfyUI, a universal, flexible, and fast tool for vibe coders.
A Python library for fine-tuning and evaluating large language models with visual prompts.
A simple semi-supervised learning method with limited data, useful for AI/ML developers.
Deprecated inference engine for AI-powered developer tools and workflows.
Fine-tune and deploy the Whisper speech recognition model with accelerated inference and support for various platforms.
A data-centric approach to generating photorealistic human images using StyleGAN, a powerful generative AI model.
A Python library that speeds up inference for large language models by up to 10x with dynamic sparse attention
A lightweight library to convert and run ML/DL models in high-performance inference runtimes like TensorRT, TorchScript, ONNX, and TVM.
High-fidelity performance metrics for generative models in PyTorch
ezkl is a Rust-based engine for doing inference on deep learning models and computational graphs in zero-knowledge.
A simple tool to calibrate neural networks and improve their performance.
An all-in-one data labeling and annotation platform for multimodal data training, supporting 3D LiDAR, images, and language models.
An AI inference operator for Kubernetes that makes it easy to serve ML models in production.
A PyTorch library for image synthesis and editing using stochastic differential equations.
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