quanghuy0497/Deep-Learning-Specialization quanghuy0497/Deep-Learning-Specialization

  • This repository has been archived on 18/Oct/2021
  • Stars
    star
    44
  • Rank 621,261 (Top 13 %)
  • Language
    Jupyter Notebook
  • Created almost 3 years ago
  • Updated almost 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
quanghuy0497/Deep-Learning-Specialization
github

quanghuy0497

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Coursera's Deep Learning Specialization offered by deeplearning.ai.

More Repositories

1

Transformers4Vision

A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.
103
star
2

Cheatsheet-collection

Cheatsheet collection for Math, ML, DL, AI. Update frequently
Jupyter Notebook
60
star
3

Writing-in-the-Sciences

A Stanford writing course to learn how to write scientific articles in a clear, concise, and effective way
58
star
4

Mask_R-CNN

A modified version of Mask R-CNN based on Matterport's version. Featuring: polygon annotating mask generation and k-fold cross-validation training.
Jupyter Notebook
16
star
5

The_PhD_Guidance

Reasons, motivations, and resources that help pursuing the doctoral degree in Computer Science
12
star
6

Few-shot-Learning_Summarization

A summarization of Few-shot Learning approaches for Computer Vision tasks, including image classification, object detection, and object segmentation. Keep updated frequently.
7
star
7

MM-Fit_Excercise_Recognition

Some incomplete works with 2D action recognition on MM-Fit dataset using ViT, ViViT, and MLP-Mixer Topics Resources
Jupyter Notebook
4
star
8

Face-Skin-Detection

A simple facial landmark detection using HoG-CNN (via dlib) and Skin detection with HSV-YCbCr colorspace.
Python
4
star
9

Bayesian_Optimization

Jupyter Notebook
3
star
10

ObsNet_OOD_Segmentation

Implementation code of the paper "Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation"
Python
3
star
11

Few-shot_Learning_Papers

A summarization of Few-shot Learning approaches for Computer Vision tasks, including image classification, object detection, and object segmentation. Keep updated frequently.
2
star
12

Machine-Learning-Coursera

MATLAB
2
star
13

TFormer-inpainting

Implementation code of T-former: An Efficient Transformer for Image Inpainting (ACM MultiMedia 2022)
Jupyter Notebook
1
star
14

Resources

My resources for doing research
1
star
15

Co_PSL_unofficial

Jupyter Notebook
1
star
16

Competitive-Programing

My competitive programming codes from Codeforces, SPOJ, UVA,...
C++
1
star
17

obsnet

Implementation code of the paper "Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation"
Python
1
star
18

Headmap_and_Edges

Simple HeatMap with CNNs and Canny Edges from OpenCV
Python
1
star