lijinyu624's Stars
JunJie-zhang-o/RemarkableFontHelper
Remarkable 中文字体助手，可以便捷的传输字体文件
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
datawhalechina/competition-baseline
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
miguelgfierro/project_template
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
rockita/criticalML
Toward ethical, transparent and fair AI/ML: a critical reading list for engineers, designers, and policy makers
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
ProductHired/open-product-management
A curated list of product management advice for technical people.
LLancelot/LeetCode
✍️ My LeetCode solutions, ideas and templates sharing. (我的LeetCode题解，思路以及各专题的解题模板分享。分专题归纳，见tag)
xiaoylu/leetcode_category
Leetcode solutions organized by the problem categories
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
gohugoio/hugo
The world’s fastest framework for building websites.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
rwang14/Functional-ANOVA-for-Plant-Growth-Dynamics
rwang14/implant
User's guide of this package can be found at:
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
shagunsodhani/papers-I-read
A-Paper-A-Week
Arturus/kaggle-web-traffic
1st place solution
yanji84/keras-mdn
Implementation of mixture density network layer and objective function in Keras
laiguokun/LSTNet
hardmaru/sketch-rnn
Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow
RobRomijnders/RNN_basketball
LSTM + MDN for basketball trajectories
jsn5/dancenet
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
KEggensperger/DistNet
axelbrando/Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)