EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.

A lightweight quantization module for PyTorch models.

Post post-training-quantization (PTQ) method for improving LLMs. Unofficial implementation of https://arxiv.org/abs/2309.02784

🎯 Fine-tune large language models and use them for text-related tasks. This repository provides a straightforward approach to fine-tuning models like Gemma, Llama 🦙, and Mistral 🌪️ for various NLP tasks. 🔧 It includes training 📚, fine-tuning 🛠️, and inference pipelines ⚙️. 🚀

基于各大 AI 模型开发的OCR文本识别网络应用加强版，支持导出模型部署、模型量化、模型剪枝、优化参数搜索、可视化调试分析...

Quantization of Models : Post-Training Quantization(PTQ) and Quantize Aware Training(QAT)

AURA: Augmented Representation for Unified Accuracy-aware Quantization

Generating tensorrt model using onnx

LLM quantization techniques: absmax, zero-point, GPTQ and GGUF

Build AI model to classify beverages for blind individuals

Deep insight tensorrt, including but not limited to qat, ptq, plugin, triton_inference, cuda

[ICML 2025] Fast and Low-Cost Genomic Foundation Models via Outlier Removal.

Deep Learning Model Optimization Using by TensorRT API, window

mi-optimize is a versatile tool designed for the quantization and evaluation of large language models (LLMs). The library's seamless integration of various quantization methods and evaluation techniques empowers users to customize their approaches according to specific requirements and constraints, providing a high level of flexibility.

[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

Brevitas: neural network quantization in PyTorch