liangsci

100-Days-Of-ML-Code

100 Days of ML Coding

aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

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

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

best-subset

Comparisons between best subset selection and other popular estimators for sparse regression

bitcoin-whitepaper-chinese-translation

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

CNN_sentence

My version of CNNs for sentence classification

liangsci/100-Days-Of-ML-Code

100 Days of ML Coding

liangsci/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

liangsci/awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

liangsci/Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

liangsci/bitcoin-whitepaper-chinese-translation

liangsci/cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

liangsci/Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

liangsci/deepbayes-2018

Seminars DeepBayes Summer School 2018

liangsci/DeepLearningTutorials

Deep Learning与PyTorch入门实战视频教程

liangsci/eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

liangsci/fonduer

:newspaper: a knowledge base construction engine for richly formatted data

liangsci/ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

liangsci/interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

liangsci/Lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

liangsci/lihang-code

《统计学习方法》的代码实现

liangsci/machine-learning-code-writing

Mathematical derivation and pure Python code implementation of machine learning algorithms.

liangsci/Machine-Learning-Notes

周志华《机器学习》手推笔记

liangsci/ML-Tutorial-Experiment

Coding the Machine Learning Tutorial for Learning to Learn

liangsci/mlss2018-madrid-gan

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

liangsci/models

Models and examples built with TensorFlow

liangsci/Object-detection

Object detection project for real-time (webcam) and offline (video processing) application.

liangsci/poibin

Poisson Binomial Probability Distribution for Python

liangsci/psych10-book

Source files for Statistical Thinking For the 21st Century

liangsci/PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

liangsci/recommender-system

Build Recommender Systems with Machine Learning

liangsci/snorkel

A system for quickly generating training data with weak supervision

liangsci/Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

liangsci/TensorFlow2.0Tutorials

TensorFlow 2.0 version's Tutorials and Examples, CNN, RNN, GAN tutorials, etc. TF 2.0版入门实例代码，实战教程。

liangsci/UdacityFacebookScholar

liangsci/Virgilio

Your new Mentor for Data Science E-Learning.