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A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.

[CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.

Tool suite for Texture and 3D Model Compression, Optimization and Analysis using CPUs, GPUs and APUs

Official repository of Evolutionary Optimization of Model Merging Recipes

Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.

Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.

Scalable and memory-optimized training of diffusion models