wzj207 Goto Github PK

2020fst

first time to use github

30-days-of-python

Learn Python for the next 30 (or so) Days.

asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

c-tran

General Multi-label Image Classification with Transformers

caltech_birds

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

canonicalsg2im

Code for "Learning Canonical Representations for Scene Graph to Image Generation", Herzig & Bar et al., ECCV2020

cbir

Content-Based Image Retrieval System

cbir-1

🏞 A content-based image retrieval (CBIR) system

cbir_learning

computer-vision

Computer Vision Related Scripts

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cs50-2020_web_programming

Learning following Brain from CS50

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

energy-based-scene-graph

Code release for Energy-Based Learning for Scene Graph Genertaion

evolutionary-algorithm

Evolutionary Algorithm using Python

fastai-code-collection

FastAI V2 and V1 Code Examples

ga_in_python

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

habitat-elements-identification-in-bird-images-with-the-help-of-unlabeled-images

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hsf-training-ml-gpu-webpage

https-github.com-wzj207-identifying-habitat-elements-from-bird-images-using-deep-learning

landscape elements classification

image-processing-algorithms

iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

knn

KNN算法改进约会网站的配对效果和实现手写数字识别

lessonpythoncode

LessonPythonCode

matplotlib_tutorial

Source code to go along with my tutorial to learn data visualization with the matplotlib library of Python