ta-datapt-bcn's Stars
silvernine209/Google-AI-Open-Images-Object-Detection-Track
Google AI Open Images (Object Detection) Kaggle competition using CNN.
holyfiddlex/Thesis
Academic thesis on Speech Separation and Deep Learning
manikanthr5/OpenDomainChatbot
Generative Chatbot made using Attention in TensorFlow
dennybritz/chatbot-retrieval
Dual LSTM Encoder for Dialog Response Generation
Soluto/python-flask-sklearn-docker-template
A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker
datapartnership/covid-19
Partnership-curated notebooks to support COVID-19 response
oroszgy/hungarian-text-mining-workshop
Materials for the Text Mining workshop held in the HuNLP meetup, June 2017
lisp1/hw3-social-media
The social media homework of course bioinf 2011, done by Pengan Li
JherezTaylor/hatespeech_codewords
A contextual approach for detecting hate speech code words
t-davidson/hate-speech-and-offensive-language
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
dhaitz/python-sklearn-firefly-docker-heroku
Build a hate speech detection system with scikit-learn and deploy it via Docker on Heroku.
NamanJain2050/emotion-detection
Emotion Dectection in twitter dataset
nidhikargathra/Emotion_Analysis_On_Twitter
Trained and evaluated performance of various classifiers (SVM, Naïve Bayes, Logistic Regression, Random Forest) for Natural Language Processing (NLP) in order to mine real-time data from Twitter and rate each tweet on its primary emotional content. Applied Synthetic Minority Oversampling Technique (SMOTE) on unbalanced dataset, achieved classification accuracy of 95%.
r13i/twitter-sentiment-analysis
What if we could see the emotions and moods of people through the breadcrumbs they leave on Twitter ?
chauvinhloi/docker-session
AliaksandrSiarohin/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
imdeepmind/gender-recognition-using-deep-learning
The aim of this project is to make a computer program to detect detects human faces in images and then predicts the gender based on the image. For that, the special algorithm is trained on a dataset of images of girls and boys. After training, the algorithm can predict the gender of a person just by observing his/her face.
jaygshah/Evolution-of-Fake-Bots-on-Twitter
fake bot detection, evolution of bots, cluster analysis, US election twitter data, social media mining, influence of twitter bots on 2016 US election
srfdata/2017-10-instagram-influencers
Identifying a Large Number of Fake Followers on Instagram
maurock/snake-ga
AI Agent that learns how to play Snake with Deep Q-Learning
satinder147/stone_paper_scissor_defeator_using_opencv_keras
In this repository i tried to replicate a cool project by a japanese scientist who made a machine which had 100 % accuracy in defeating humans in the game of stone-paper and scissors
jainsiddharth99/AI-Project
This game is a little bit different version of Sheldon Cooper's Stone paper scisscor game
Biswa24/Stone-Paper-Scissors
A neural network model with which we can play Stone Paper Scisscors
mnpappo/python_flask_opencv_video_streaming
Real Time Video Streaming with Python Flask and Opencv
nenadmarkus/picojs
A face detection library in 200 lines of JavaScript
elyha7/web_programming
face recognition from webcam project with flask
miguelgrinberg/flask-video-streaming
Supporting code for my article on video streaming with Flask.
aiXander/Realtime_PyAudio_FFT
Realtime audio analysis in Python, using PyAudio and Numpy to extract and visualize FFT features from streaming audio.
DEIB-GECO/NMTF-DrugRepositioning
rromanss23/Machine_Leaning_Engineer_Udacity_NanoDegree