Pinned Repositories
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.
starjf's Repositories
starjf/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
starjf/AlgorithmsByPython
算法/数据结构/Python/剑指offer/机器学习/leetcode
starjf/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
starjf/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
starjf/awesome-anomaly-detection
A complete list of papers on anomaly detection.
starjf/blending
starjf/data-science-blogs
A curated list of data science blogs
starjf/gensim
Topic Modelling for Humans
starjf/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
starjf/keras-retinanet
Keras implementation of RetinaNet object detection.
starjf/mask-rcnn-object-detection
starjf/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
starjf/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
starjf/nima.pytorch
NIMA: Neural IMage Assessment
starjf/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。
starjf/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
starjf/OpenCV-Notes
OpenCv 学习笔记
starjf/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
starjf/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
starjf/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
starjf/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
starjf/Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
starjf/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
starjf/Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis