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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

article-downloader

Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-twitter-data

A list of Twitter datasets and related resources.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bc18-scaffold

bdr-tweet

Mining Twitter for Disaster Response

bert

TensorFlow code and pre-trained models for BERT

coursera_sda_yandex

A repository with my solutions of Coursera course "Introduction to Machine Learning" by School of Data Analysis of Yandex

dbl_algorithms_group8

A repository of Group 8 for a dbl project Algorithms in TU/eindhoven

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

gensim

Topic Modelling for Humans

guided-neural-style

Guided Neural Style in Tensorflow

hands-on-deep-learning-algorithms-with-python

Hands-On Deep Learning Algorithms with Python, By Packt

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

jbi010

ml-course-hse

Машинное обучение на ФКН ВШЭ

ml-course-msu

Lecture notes and code for Machine Learning practical course on CMC MSU

nbdev

Create delightful python projects using Jupyter Notebooks

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

nlp-in-practice

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

numpy_ringbuffer

Ring-buffer implementation that thinly wraps a numpy array

predictive-maintenance

Demonstration of MapR for Industrial IoT

proj_news_viz

reinforcement-learning

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

ringbuffer

Ring buffer that allows for high-throughput data transfer between multiproccessing Python processes.

s2

Python wrapper for the Semantic Scholar API

semantic-scholar-scrapper

A Scrapper for Semantic Scholar.

spade

Semantic Image Synthesis with SPADE

tensorexpand

集成包