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fast-rcnn

Fast R-CNN

fastai

The fastai deep learning library, plus lessons and and tutorials

few_shot_distribution_calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

finch

More than 50 machine learning models (and tests) based on TensorFlow / PyTorch

free-books

互联网上的免费书籍

free-programming-books

:books: Freely available programming books

freewill

A deep learning library in C++/CUDA

graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

handong1587.github.io

handson-ml

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

hello-world

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目

howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

interview

📚 C/C++面试知识总结

interview-code-practice-python

面试题

interview-notebook

:calendar: 准备秋招学习笔记

interview_python

关于Python的面试题

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

learning_research

本人博士期间的科研经验

leetcode

LeetCode题解，151道题完整版

leetcode-1

:pencil2: 算法相关知识储备 LeetCode with Python :books:

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

lsda

Large scale detection through adaptation

machinelearning

Machine learning resources

mcfat-net