tien-le-grenoble

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

cheatsheets

A list of dotfiles and cheatsheets for different stuff (based on many sources)

deepspeech.pytorch

Speech Recognition using DeepSpeech2 and the CTC activation function. Edit

fastText

Library for fast text representation and classification.

high_performance_python

Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly

kaggle-titanic-original

Titanic - Machine Learning from Disaster

multivec

uranus-original

The fundamentals of Machine Learning and Deep Learning from Scratch and from other libs such as numpy, panda, matplotlib, scipy, scikit-learn, Keras, Tensorflow, Theano, etc

WCE-LIG

Word Confidence Estimation Toolkit of the GETALP-LIG

tien-le-grenoble/deepspeech.pytorch

Speech Recognition using DeepSpeech2 and the CTC activation function. Edit

tien-le-grenoble/uranus-original

The fundamentals of Machine Learning and Deep Learning from Scratch and from other libs such as numpy, panda, matplotlib, scipy, scikit-learn, Keras, Tensorflow, Theano, etc

tien-le-grenoble/vecmap

A framework to learn bilingual word embedding mappings

tien-le-grenoble/awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

tien-le-grenoble/kaggle-titanic-original

Titanic - Machine Learning from Disaster

tien-le-grenoble/academicons

LaTeX academicons package for high qual­ity icons of on­line aca­demic pro­files.

tien-le-grenoble/courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

tien-le-grenoble/CSharpGuidelines

A set of coding guidelines for C# 3.0, C# 4.0 and C# 5.0, design principles and layout rules for improving the overall quality of your code development.

tien-le-grenoble/data-science-works

tien-le-grenoble/DataSciencePython

common data analysis and machine learning tasks using python

tien-le-grenoble/deep-crf

A implementation of Conditional Random Fields (CRFs) with Deep Learning Method

tien-le-grenoble/deep-learning-docker

Getting started with docker for machine learning/deep learning libraries and frameworks. 🐳 + ℳ 𝓛

tien-le-grenoble/design-patterns-for-humans

Design Patterns for Humans™ - An ultra-simplified explanation

tien-le-grenoble/DrQA

Reading Wikipedia to Answer Open-Domain Questions

tien-le-grenoble/DSTC6-End-to-End-Conversation-Modeling

DSTC6: End-to-End Conversation Modeling Track

tien-le-grenoble/GA-DSI

tien-le-grenoble/guides

A collection of succinct guides - Public Domain

tien-le-grenoble/java8-tutorial

Modern Java - A Guide to Java 8

tien-le-grenoble/machine-learning-yearning

Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

tien-le-grenoble/machine_learning_examples

A collection of machine learning examples and tutorials.

tien-le-grenoble/pandas-tutorial

Material for the pandas tutorial at EuroScipy 2016

tien-le-grenoble/Patent-H_index-Prediction

Using graph properties of patent co-authorship and citation networks to predict future H-indices

tien-le-grenoble/punctuator2

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

tien-le-grenoble/pyecharts

🎨 Python Echarts Plotting Library

tien-le-grenoble/Python-Design-Patterns-1

Learning design patterns in Python 3

tien-le-grenoble/Python-for-Machine-Learning---Udemy

tien-le-grenoble/spark

A Sinatra inspired framework for java

tien-le-grenoble/spring-data-mongodb

Provide support to increase developer productivity in Java when using MongoDB. Uses familiar Spring concepts such as a template classes for core API usage and lightweight repository style data access.

tien-le-grenoble/ThinkPython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

tien-le-grenoble/wtfpython

A collection of surprising Python snippets and lesser-known features.