Alternatives and similar repositories for Seq2Seq-Workshop

Users that are interested in Seq2Seq-Workshop are comparing it to the libraries listed below

• Machine-Learning-Tokyo / ML_recommendation_system
  ☆13Updated 5 years ago
• Machine-Learning-Tokyo / MLT-x-fastai
  Fast.ai study sessions organized by MLT.
  ☆24Updated 6 years ago
• Machine-Learning-Tokyo / tfjs-workshop
  ☆29Updated 6 years ago
• Machine-Learning-Tokyo / paper_readings
  Material for the Paper Reading sessions organized by Machine Learning Tokyo
  ☆14Updated 5 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆109Updated 4 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• Machine-Learning-Tokyo / ML_Math
  This repo contains resources from our MLT math lectures.
  ☆14Updated 5 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• Machine-Learning-Tokyo / EN-JP-ML-Lexicon
  This is a English-Japanese lexicon for Machine Learning and Deep Learning terminology.
  ☆38Updated 4 years ago
• binga / fastai_notes
  My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)
  ☆36Updated 7 years ago
• RubensZimbres / Repo-2019
  BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natura…
  ☆139Updated 4 years ago
• yuibi / spacy_tutorial
  spaCy tutorial in English and Japanese. spacy-transformers, BERT, GiNZA.
  ☆63Updated 5 years ago
• Machine-Learning-Tokyo / AI-ML-Newsletter
  AI Digest: Monthly updates on AI and ML topics
  ☆105Updated 4 years ago
• Machine-Learning-Tokyo / public_datasets
  Public Machine Learning Datasets
  ☆30Updated 5 years ago
• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆24Updated 5 years ago
• j-cunanan / MLT-contributions
  ☆22Updated 4 years ago
• zkid18 / DRL4Recsys
  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
  ☆17Updated 3 years ago
• sudharsan13296 / Word2vec-from-scratch
  simple Word2vec from scratch using tensorflow for understanding
  ☆34Updated 7 years ago
• Machine-Learning-Tokyo / practical-ml-implementations
  ML implementations for practical use
  ☆15Updated 5 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆49Updated 5 years ago
• Tony607 / Summarizing_Text_Amazon_Reviews
  [Tutorial] Summarizing Text with Amazon Reviews
  ☆25Updated 7 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• dipanjanS / nlp_workshop_iisc19
  Hands-on examples showcasing popular NLP applications
  ☆19Updated 6 years ago
• Machine-Learning-Tokyo / ML_Fairness_Ethics_Explainability
  Fairness, Ethics, Explainability in AI and ML
  ☆22Updated 5 years ago
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆39Updated 5 years ago
• Machine-Learning-Tokyo / MLTx2020
  ☆12Updated 2 years ago
• hsm207 / seamls2019
  Materials from the South East Asia Machine Learning School 2019 event
  ☆15Updated 6 years ago
• the-full-stack / fsdl-text-recognizer
  Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
  ☆58Updated 2 years ago