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accdnn

A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-raspberry-pi-zh

树莓派(Raspberry Pi )资源大全中文版 , 包括工具、项目、镜像、资源等

basic_knowledge

Things to learn for new students in Lab611.

bnn-fpga

Binarized Convolutional Neural Networks on Software-Programmable FPGAs

caffe-int8-convert-tools

Generate a quantization parameter file for ncnn framework int8 inference

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

darts

Differentiable architecture search for convolutional and recurrent networks

deepshift

Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

distiller

A large scale study of Knowledge Distillation.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

english-writing

Enhance Your English Writing

eq-net

EQ-Net [ICCV 2023]

gbt7714-2005-bibtex-style

A GB/T 7714-2005 national standard compliant BibTeX style.

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

interview-notebook

:books: 技术面试需要掌握的基础知识整理，欢迎编辑~

knowledge-distillation-zoo

lean-side-bussiness

精益副业：程序员如何优雅地做副业

machinelearning

Machine Learning in Action（机器学习实战）

mcunet

pandoc-latex-template

A pandoc LaTeX template to convert markdown files to PDF or LaTeX.

pid-gym-cartpole

PID gym CartPole

pipecnn

An OpenCL-based FPGA Accelerator for Convolutinal Neural Networks

pp-lcnet

PyTorch implementation of PP-LCNet

ptmq

PTMQ [AAAI 2024]

pytorch-bignas

PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM