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Name: Dr. Mingming Guo
Type: User
Bio: Data & ML Scientist - AI, NLP and Personalization/Recommendations
Dr. Mingming Guo's Projects
120-data-science-interview-questions
Answers to 120 commonly asked data science interview questions.
60_days_rl_challenge
Learn Deep Reinforcement Learning in Depth in 60 days
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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
allennlp
An open-source NLP research library, built on PyTorch.
applied-dl-2018
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
artificial-intelligence-and-machine-learning
Algorithm implementations and homework solutions for the Stanford's online courses
artificial-intelligence-deep-learning-machine-learning-tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
associativeretrieval
TensorFlow implementation of Fast Weights
autokeras
accessible AutoML for deep learning.
awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-deep-learning-papers
The most cited deep learning papers
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-rl
Reinforcement learning resources curated
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
began-tensorflow
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
bert
TensorFlow code and pre-trained models for BERT
buildingmachinelearningsystemswithpython
Source Code for the book Building Machine Learning Systems with Python
capsnet-keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
courses
fast.ai Courses
cvxpy
A Python-embedded modeling language for convex optimization problems.
dat8
General Assembly's Data Science course in Washington, DC
data-science-intensive
A 12 weeks of instensive data science training program for becoming a data scientist
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
decision-theory-www-2021
Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).
deep-learning-for-recommendation-systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
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