Ansarimi's Stars
bloomberg/scatteract
Project which implements extraction of data from scatter plots
catboost/catboost-viewer
Standalone application for plotting charts with different training statistics in a browser.
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.
PAIR-code/facets
Visualizations for machine learning datasets
BVLC/caffe
Caffe: a fast open framework for deep learning.
Redth/PushSharp
A server-side library for sending Push Notifications to iOS (iPhone/iPad APNS), Android (C2DM and GCM - Google Cloud Message), Windows Phone, Windows 8, Amazon, Blackberry, and (soon) FirefoxOS devices!
facebookresearch/SentEval
A python tool for evaluating the quality of sentence embeddings.
abisee/pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
chakra-core/ChakraCore
ChakraCore is an open source Javascript engine with a C API.
jgraph/drawio
draw.io is a JavaScript, client-side editor for general diagramming.
danielricks/penseur
An interface for the Sent2Vec encoder and training code from the "Skip-Thought Vectors" paper
ehsansherkat/ConVec
In this project, we use skip-gram model to embed Wikipedia Concepts and Entities. The English version of Wikipedia contains more than five million pages, which suggest its capability to cover many English Entities, Phrases, and Concepts. Each Wikipedia page is considered as a concept.
microsoft/vscode-tips-and-tricks
Collection of helpful tips and tricks for VS Code.
cvangysel/SERT
Semantic Entity Retrieval Toolkit
jhlau/doc2vec
Python scripts for training/testing paragraph vectors
attardi/wikiextractor
A tool for extracting plain text from Wikipedia dumps
udibr/headlines
Automatically generate headlines to short articles
mchen24/iclr2017
Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
vered1986/OKR
OKR: A Consolidated Open Knowledge Representation for Multiple Texts
commonsense/conceptnet-numberbatch
commonsense/conceptnet5
Code for building ConceptNet from raw data.
NIHOPA/word2vec_pipeline
NLP pipeline using word2vec (preprocessing/embedding/prediction/clustering)
derekgreene/dynamic-nmf
Dynamic Topic Modeling via Non-negative Matrix Factorization
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
RasaHQ/rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
ziyan/spider
Web Content Extraction Through Machine Learning
CogComp/cogcomp-nlp
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.