flygyyy's Stars
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
mli/paper-reading
深度学习经典、新论文逐段精读
233boy/v2ray
最好用的 V2Ray 一键安装脚本 & 管理脚本
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
fengdu78/lihang-code
《统计学习方法》的代码实现
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
layumi/Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
openmlsys/openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
microsoft/AI-System
System for AI Education Resource.
handong1587/handong1587.github.io
ramprs/grad-cam
[ICCV 2017] Torch code for Grad-CAM
megvii-model/ShuffleNet-Series
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
doonny/PipeCNN
An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
dgschwend/zynqnet
Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"
Xilinx/finn
Dataflow compiler for QNN inference on FPGAs
Xilinx/BNN-PYNQ
Quantized Neural Networks (QNNs) on PYNQ
itrump/ssfree
provide shadowsocks free tutorial and free account
zssloth/Embedded-Neural-Network
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
wenwei202/caffe
Caffe for Sparse and Low-rank Deep Neural Networks
Tencent/deepx_core
deepx_core是一个专注于张量计算/深度学习的基础库
jxgu1016/MNIST_center_loss_pytorch
A PyTorch implementation of center loss on MNIST
jakc4103/DFQ
PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
ruihangdu/PyTorch-Deep-Compression
A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
TerryBryant/MyWork
work and study
JDAI-CV/dabnn-example
Android demo for dabnn
kobiso/Tiny-ImageNet-to-TFRecords
Implementation to convert Tiny ImageNet dataset to TFRecords
JianboGuo/network-decoupling
Code for the paper: Network Decoupling: From Regular to Depthwise Separable Convolutions
wangzheng17/CBDNet
Code for Composite Binary Decomposition Networks