Showing 21-40 of 42 projects
A PyTorch implementation of various continual learning methods for AI/ML developers.
A collection of Microsoft's work on NAS and Vision Transformer for efficient AI models.
A PyTorch implementation of various Knowledge Distillation (KD) methods for model compression and transfer learning.
A PyTorch-based toolkit for knowledge distillation in natural language processing tasks.
An open-source toolbox and benchmark for model compression and acceleration in PyTorch.
PaddleSlim is an open-source library for deep model compression and architecture search.
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
A high-performance text-to-3D generation model for building immersive 3D experiences with AI tools.
A Python library for channel and layer pruning of YOLOv3 and YOLOv4 models, with support for knowledge distillation.
Improves Convolutional Networks via Attention Transfer using PyTorch.
A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.
A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.
Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
Efficient computing methods developed by Huawei Noah's Ark Lab for model compression and optimization.
A comprehensive survey on knowledge distillation techniques for large language models.
This Python library speeds up the Qwen-Image model using distillation, a technique for AI model optimization.
A high-performance image synthesis model with improved distribution matching distillation.
A free Actionscript (Flash) library that provides useful base classes for building 2D games.
Official PyTorch implementation of a prompt-based distillation method for on-device deployment of the Segment Anything Model (SAM).
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