JustM57's Stars
ermakovpetr/ipytelegram
IPython magic for Telegram notifications
facebookresearch/fastText
Library for fast text representation and classification.
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
FrancisArgnR/Time-series---deep-learning---state-of-the-art
Scientific time series and deep learning state of the art
madrugado/deep-learning-nlp-rl-papers
Recent Deep Learning papers in NLU and RL
adrn/cython-tutorial
Tutorial on how to use Cython to optimize Python code.
DmitryUlyanov/texture_nets
Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
ryankiros/neural-storyteller
A recurrent neural network for generating little stories about images
amueller/word_cloud
A little word cloud generator in Python
bfelbo/DeepMoji
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
ayushoriginal/Sentiment-Analysis-Twitter
:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
openai/generating-reviews-discovering-sentiment
Code for "Learning to Generate Reviews and Discovering Sentiment"
bigartm/bigartm
Fast topic modeling platform
NVIDIA/sentiment-discovery
Unsupervised Language Modeling at scale for robust sentiment classification
3Top/word2vec-api
Simple web service providing a word embedding model
Kyubyong/wordvectors
Pre-trained word vectors of 30+ languages
jasti/Stock-Predictor
Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the stock. Computes portfolio returns over time.
hse-aml/competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
DmitryUlyanov/neural-style-audio-tf
TensorFlow implementation for audio neural style.
Dyakonov/ml_hacks
Приёмы в машинном обучении
intel/clDNN
Compute Library for Deep Neural Networks (clDNN)
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
diefimov/MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
aguschin/kaspersky_hackathon
https://events.kaspersky.com/hackathon/
hindupuravinash/nips2016
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
sjchoi86/Tensorflow-101
TensorFlow Tutorials
NZRS/domain-create-sarima-model
Domain creation prediction using a Seasonal ARIMA model
aj-cloete/pssa
Singular Spectrum Analysis for time series forecasting in Python
JoomiK/RobberiesTimeSeries
Forecasting monthly armed robberies in Boston with an ARIMA model.
keras-team/keras
Deep Learning for humans