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an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

anogan

anomaly detection with GAN

awesome-cbir-papers

📝Awesome and classical image retrieval papers

cifar10-cnn

Some experiments with CIFAR-10 dataset

cvwc2019-amur-tiger-re-id

:trophy: Code for 1st Place Soluition in both the Tiger Re-ID in the plain track and Tiger Re-ID in the wild track (CVWC) @ ICCV19 Workshop.

deep-learning-with-python-notebooks

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

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningtheory

deepod

Deep learning-based outlier/anomaly detection

distribution_clustering

Implements (high-dimenstional) clustering algorithm described in https://arxiv.org/pdf/1804.02624.pdf

dl-nlp-readings

My Reading Lists of Deep Learning and Natural Language Processing

dse220_machine_learning

Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.

frn

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

gryds

A Python package for geometric transformations of images for data augmentation in deep learning

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hdbscan

A high performance implementation of HDBSCAN clustering.

hog-svm-classifer

For the CIFAR-10 dataset, extracting HOG features and using SVM classifier to classify them, at last, we get the accuracy.

kmeans

K Means Clustering with Python

machine-deep-learning

:wave: ML/DL学习笔记（基础+论文）

machinelearning_python

机器学习算法python实现

oc-nn

Repository for the One class neural networks paper

openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

personal-website

Code that'll help you kickstart a personal website that showcases your work as a software developer.

python-100-days

Python - 100天从新手到大师

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

python_machine_learning

it contains all my python demo code accompanying my machine learning notes

resume-academic

stanford-dogs-classification

This Repo includes code (written in python ) for Stanford dogs data set classification . I have used PyTorch library for this purpose.

stanford_dogs-classification-by-cnn

stl10

Image classification using PyTorch on (almost) STL-10 dataset