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High-efficiency floating-point neural network inference operators for mobile, server, and Web
BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
The Tensor Algebra SuperOptimizer for Deep Learning
Everything you need to know about LLM inference
[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
Batch normalization fusion for PyTorch. This is an archived repository, which is not maintained.
Optimize layers structure of Keras model to reduce computation time
A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3
Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
[CVPR 2025] DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
The blog, read report and code example for AGI/LLM related knowledge.
Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.
cross-platform modular neural network inference library, small and efficient
A template for getting started writing code using GGML
Accelerating LLM inference with techniques like speculative decoding, quantization, and kernel fusion, focusing on implementing state-of-the-art research papers.
Faster inference YOLOv8: Optimize and export YOLOv8 models for faster inference using OpenVINO and Numpy 🔢
LLM-Rank: A graph theoretical approach to structured pruning of large language models based on weighted Page Rank centrality as introduced by the related paper.
Dynamic Attention Mask (DAM) generate adaptive sparse attention masks per layer and head for Transformer models, enabling long-context inference with lower compute and memory overhead without fine-tuning.
Your AI Catalyst: inference backend to maximize your model's inference performance
A constrained expectation-maximization algorithm for feasible graph inference.