xd1073321804's Stars
1hunters/LIMPQ
Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
submission2019/cnn-quantization
Quantization of Convolutional Neural networks.
papers-submission/CalibTIP
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Ftindy/IPTV-URL
AozhongZhang/COMQ
TheBloke/AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
AutoGPTQ/AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
qwopqwop200/GPTQ-for-LLaMa
4 bits quantization of LLaMA using GPTQ
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
IST-DASLab/gptq
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
Cornell-RelaxML/QuIP
Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
mit-han-lab/llm-awq
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
casper-hansen/AutoAWQ
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
Macaronlin/LLaMA3-Quantization
A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..
Picsart-AI-Research/StreamingT2V
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Qualcomm-AI-research/pruning-vs-quantization
ziplab/PTQD
The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
daquexian/onnx-simplifier
Simplify your onnx model
onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
intel/neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
JingyunLiang/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
mcordts/cityscapesScripts
README and scripts for the Cityscapes Dataset
dcrmg/LEDNet-ADE20K-pytorch
Unofficial implementation of LEDNet on ADE20K dataset
worstprogrammerCN/FCN-tensorflow-ADE20k
An FCN8s implementation on the dataset ADE20k. | 一个FCN8s的实现,用于ADE20k数据集
NVlabs/SegFormer
Official PyTorch implementation of SegFormer
instantX-research/InstantID
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
mlcommons/inference
Reference implementations of MLPerf™ inference benchmarks
LetheSec/Fer2013-Facial-Emotion-Recognition-Pytorch
This method achieves SOTA single model accuracy of 73.70 % on FER2013 without using extra training data.