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analyticsvidhya_blackfriday

Black Friday Hackathon on AnalyticsVidhya

app-ideas

A Collection of application ideas which can be used to improve your coding skills.

awesome-app-ideas

List of awesome app ideas

awesome-deep-learning

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

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

boston-housing-prices

:house: Predict the selling price of a new home in Boston, Massachusetts area

cloud-vision

Sample code for Google Cloud Vision

co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

computervision

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

data-science--cheat-sheet

Cheat Sheets

data-science-interviews

Data science interview questions and answers

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.

data-science-tutorials

Data Science Tutorials

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

distil-bilstm

Scripts to train a bidirectional LSTM with knowledge distillation from BERT

ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

exploremlacademy

PPT

git-commands

A list of commonly used Git commands

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

headliner

🏖 Easy training and deployment of seq2seq models.

ideas

:rocket: Ideas for everyone under a CC licence. Feel free to use.

ideas-1

a record of ideas

interview-question-data-science-

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

k-nearest-neighour

keras-tuner

Hyperparameter tuning for humans

knocktober-2016

Codes related to Knocktober 2016

learning

Becoming 1% better at data science everyday