kunal-kotian's Stars
open-guides/og-aws
📙 Amazon Web Services — a practical guide
realpython/python-guide
Python best practices guidebook, written for humans.
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
sebastianruder/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.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
sindresorhus/pure
Pretty, minimal and fast ZSH prompt
ydataai/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
jlevy/og-equity-compensation
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
bfortuner/ml-glossary
Machine learning glossary
jmcarpenter2/swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
brianspiering/awesome-dl4nlp
A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
parrt/random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn models
jmcarpenter2/parfit
A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
chrispaulca/waterfall
An easy to use waterfall chart function for Python
shik3519/machine-learning
Implementation of different machine learning techniques
shik3519/programming-concepts-for-data-science
Basics of programming: algorithms, data structures, object oriented programming
yanneta/deep-learning-with-pytorch
yanneta/deep-learning-data-institute
Repo for the course "Fundamentals of Deep Learning with Pytorch"
smsubrahmannian/Topic-Modeling
Suchandan/USF-Talk-Jan-26-2018
Code to accompany machine learning talk given at USF on Jan 26, 2018
Suchandan/USF-Talk-Nov-3-2017
Talk given at USF on Anomaly Detection. Nov 3, 2017