6193 Open source projects that are alternatives of or similar to Happiness Prediction

Regression, Scrapers, and Visualization

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Sentiment Analysis with LSTMs in Tensorflow

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

借助Python抓取微博数据，并对抓取的数据进行情绪分析

文本情感分析

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

AFINN sentiment analysis in Python

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Your Advanced Twitter stalking tool

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

All about Neural Networks!

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A simple Spark TDD example

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

Introduction to pandas Treehouse course

Using Python for image processing and analysis

NIST Language i-vector Machine Learning Challenge

Implementation of Signed NALU & NAC for all real numbers in PyTorch.

Python爬虫项目集合

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

A collection of Jupyter notebook workings

Repositório do Curso Online Python Fundamentos Para Análise de Dados.

backtrader with DRL ( Deep Reinforcement Learning)

Analysis of MIAS and DDSM mammography datasets

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

Simulate binance fee mechanism by RL agents

Classify and predict words using EMNIST dataset

Human Activity Recognition (HAR) with Keras and CoreML

Course materials for Advanced Binary Deobfuscation by NTT Secure Platform Laboratories

code to reproduce the empirical results in the research paper

🎨 Artistic neural style transfer with tweaks (pytorch).

Repository to help you get started with computer vision

PyTorch port and extension of the Deep Bayesian Bandits Library

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

Repository for storing quantum computing algorithms.

Pruning and other network surgery for trained TF.Keras models.

Aprenda a Programar

Columbia Advanced Machine Learning Seminar

For cell segmentation and tracking.

Order flow toxicity; Volume-Synchronized Probability of Informed Trading

Repo for Tang et al, bioRxiv 454793 (2018)

Data Science for Materials Science

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

PyCon code and presentation