Fourier (@fourierer)
  • Stars
    star
    114
  • Global Rank 189,057 (Top 7 %)
  • Followers 38
  • Following 4
  • Registered about 5 years ago
  • Most used languages
    Python
    100.0 %
  • Location 🇺🇸 United States
  • Country Total Rank 48,296
  • Country Ranking
    Python
    8,042

Top repositories

1

Video_Classification_ResNet3D_Pytorch

Using ResNet3D to train on Kinetics form scratch or fine-tune on UCF-101(or others) with Kinetics pretrained model.
Python
29
star
2

Video_Classification_ResNet3D_R2plus1D_ip-CSN_train-UCF101-HMDB51-Kinetics400-from-scratch

Using ResNet3D-50,R(2+1)D-50, and ip_CSN-50 to train UCD-101,HMDB-51 and Kinetics-400 from scratch.
Python
26
star
3

Knowledge_Base

collect some questions in AI interview, include mathematics, computer algorithm, dl or ml model and so on
Python
19
star
4

Learning_Papers_of_Human_Pose_Estimation

Learning SimpleBaseline and LightweightBaseling for Human Pose Estimation
Python
9
star
5

ffmpeg

Just for learning ffmpeg
Python
9
star
6

classification_of_ImageNet_Resnet_Pytorch

classify the imagenet using resnet model in pytorch
Python
6
star
7

Recognizing-Image-Style

Recognizing Image Style with Resnet or other model in pytorch
Python
5
star
8

multiple_label_classification

multiple label classification with MobileNetV2, ShuffleNetV2 and GhostNet
Python
4
star
9

Learn_GhostNet_pytorch

This repository is created for learning the GhostNet paper and code, the code copy from "https://github.com/iamhankai/ghostnet.pytorch"
Python
4
star
10

Pedestrian_Attribute_Recognition

Recognizing pedestrian attributes on RAP(V2) via pytorch, copy from 'https://github.com/dangweili/pedestrian-attribute-recognition-pytorch' ,annotate the code and the learn model
Python
2
star
11

Training_model_with_Data_Parallelism

Introduce several ways of data parallelism training, train model on one machine and seven GPUs.
Python
1
star