hajar-hajji

hajar-hajji's Stars

• twintproject/twint

  An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

  Language:Python15.6k2.7k

• kevinzg/facebook-scraper

  Scrape Facebook public pages without an API key

  Language:Python2.3k605

• bhadreshpsavani/ExploringSentimentalAnalysis

  This Repository Contains Different ways to do sentimental Analysis

  Language:Jupyter Notebook177

• cardiffnlp/tweeteval

  Repository for TweetEval

  Language:Jupyter Notebook34678

• VictorHoffmann1/datacamp-master

  Datacamp class for master student - 1 week

  1

• cantaro86/Financial-Models-Numerical-Methods

  Collection of notebooks about quantitative finance, with interactive python code.

  Language:Jupyter Notebook5.4k976

• twairball/keras_lstm_vae

  Keras implementation of LSTM Variational Autoencoder

  Language:Python22381

• DrSasanBarak/AugmentTS

  AugmentTS :: Time Series Data Augmentation using Deep Generative Models

  Language:Python522

• cerlymarco/MEDIUM_NoteBook

  Repository containing notebooks of my posts on Medium

  Language:Jupyter Notebook2k975

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.2k1k

• Zhenye-Na/DA-RNN

  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

  Language:Jupyter Notebook411139

• shunyaoshih/TPA-LSTM

  Temporal Pattern Attention for Multivariate Time Series Forecasting

  Language:Python672185

• JulesBelveze/time-series-autoencoder

  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

  Language:Python60663

• oliverguhr/transformer-time-series-prediction

  proof of concept for a transformer-based time series prediction model

  Language:Python1.2k236

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python6.9k915

• tcassou/causal_impact

  Python package for causal inference using Bayesian structural time-series models.

  Language:Python23231

• SamuelHorvath/granger-causality-with-nn

  Language:Jupyter Notebook4

• IPL-UV/LatentGranger

  Language:Python71

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.1k3.2k

• huggingface/workshops

  Materials for workshops on the Hugging Face ecosystem

  Language:Jupyter Notebook14656

• vjayd/Text-Translation-using-RNN-and-LSTM-

  Language translation from one language to another. Concepts used: Encoder network, decoder, Attention decoder, attention mechanism, teacher forcing ,word embeddings

  Language:Python2

• WhistleLabs/FilterNet

  Deep learning architecture for computationally efficient activity recognition as described in the paper FilterNet: A many-to-many deep learning architecture for time series classification

  Language:Jupyter Notebook2811

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.1k875

• monk1337/Various-Attention-mechanisms

  This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras

  Language:Python11923

• uzaymacar/attention-mechanisms

  Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

  Language:Python33884

• phit3/flipped_classroom

  Replication package for: Flipped Classroom: Effective Teaching for Time Series Forecasting

  Language:Python61

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX45.8k4.4k

• nlplab/brat

  brat rapid annotation tool (brat) - for all your textual annotation needs

  Language:Python1.8k510

• PlusLabNLP/DEGREE

  Code for our NAACL-2022 paper DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

  Language:Python7212

• google-research/text-to-text-transfer-transformer

  Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  Language:Python6k749