wywywy01,github

python-libffm

A Python wrapper for the libffm library.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

r2cnn_fpn_tensorflow

R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

report_csmath

csmath report : Very Deep Convolutional Networks for Large-scale Image Recognition

research

dataset and code for 2016 paper "Learning a Driving Simulator"

residual-attention-network

Residual Attention Network for Image Classification

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

scikit-learn

scikit-learn: machine learning in Python

self-driving-car

The Udacity open source self-driving car project

senet

Squeeze-and-Excitation Networks

senet.mxnet

:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire: