Khandyana Santosh Madhukar 's starred repositories

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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ciml

A Course in Machine Learning

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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pycparser

:snake: Complete C99 parser in pure Python

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text_classification

all kinds of text classification models and more with deep learning

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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Interview

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

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playground

Play with neural networks!

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