starjf Goto Github PK

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-anomaly-detection

A complete list of papers on anomaly detection.

blending

data-science-blogs

A curated list of data science blogs

gensim

Topic Modelling for Humans

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

keras-retinanet

Keras implementation of RetinaNet object detection.

llm-twin-course

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

mask-rcnn-object-detection

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

nima.pytorch

NIMA: Neural IMage Assessment

nlp-beginner-finish

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

opencv-notes

OpenCv 学习笔记

pydatasciencetoolkits_base

使用Python进行数据分析实验工具NumPy、Pandas、Matplotlib、Scikit-learn的入门介绍，使用IPython Notebook格式

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

segmentation.x

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

survival-analysis-using-deep-learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis