ultralytics / thopLinks
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
☆121Updated last month
Alternatives and similar repositories for thop
Users that are interested in thop are comparing it to the libraries listed below
Sorting:
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆432Updated this week
- Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption☆109Updated 2 years ago
- [CVPR 2024] PTQ4SAM: Post-Training Quantization for Segment Anything☆81Updated last year
- OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM☆310Updated last year
- [ECCV 2024] Isomorphic Pruning for Vision Models☆80Updated last year
- Zero-label image classification via OpenCLIP knowledge distillation☆142Updated 2 years ago
- [ECCV 2022] TinyViT: Fast Pretraining Distillation for Small Vision Transformers (https://github.com/microsoft/Cream/tree/main/TinyViT)☆117Updated 2 years ago
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆75Updated 2 years ago
- Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.☆129Updated 9 months ago
- Implementation for the paper 'YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs'☆103Updated 2 years ago
- This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transfor…☆85Updated this week
- Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models☆87Updated 9 months ago
- ☆169Updated 2 years ago
- Recent Advances on Efficient Vision Transformers☆55Updated 3 years ago
- ☆193Updated 8 months ago
- ☆25Updated last year
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆102Updated last year
- This is a collection of our zero-cost NAS and efficient vision applications.☆447Updated 2 years ago
- A collection of research papers on low-precision training methods☆60Updated 9 months ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆359Updated 2 years ago
- TensorRT Acceleration for PyTorch Native Eager Mode Quantization Models☆17Updated last year
- [ICCV2023] TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance☆125Updated last year
- A Toolkit to Help Optimize Large Onnx Model☆163Updated 3 months ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆175Updated this week
- Timm model explorer☆42Updated last year
- PyTorch Quantization Aware Training Example☆150Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- A library for training, compressing and deploying computer vision models (including ViT) with edge devices☆74Updated 4 months ago
- Awesome Pruning. ✅ Curated Resources for Neural Network Pruning.☆173Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year