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Zhihang Yuan's Projects

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

asvd4llm icon asvd4llm

Activation-aware Singular Value Decomposition for Compressing Large Language Models

caffe icon caffe

Caffe: a fast open framework for deep learning.

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

face_recognition-1 icon face_recognition-1

使用webface人脸数据集以及DeepID网络，通过Caffe训练出模型参数，得到LFW二分类的人脸识别准确率。

gitignore icon gitignore

A collection of useful .gitignore templates

leela-zero icon leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

llm-viewer icon llm-viewer

Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline model in a user-friendly interface.

lstm icon lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

mask-rcnn icon mask-rcnn

Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf

misctritoncuda icon misctritoncuda

MiscTritonCuda is a feature-rich library designed to provide miscellaneous operators and helper functions related to Triton and CUDA acceleration.

models icon models

Models and examples built with TensorFlow

mtcnn_api icon mtcnn_api

Convenient API of MTCNN face or face landmark detection

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

nn_tools icon nn_tools

Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.

pb-llm icon pb-llm

PB-LLM: Partially Binarized Large Language Models

pimanalyzer icon pimanalyzer

Tool for analyzing the details of crossbar for different applications on PIM

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

ptq4vit icon ptq4vit

Post-Training Quantization for Vision transformers.

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