All the notebooks in this folder are mostly 'stolen' from other github authors and slightly modified by me to work as of their last update date to github. The originals can be found by looking with the ipynb-file name or the original creators are mentioned in the ipynb-files themselves. A summary of files (might be outdated): Google_translate_files = translate files to desired language Pythia_demo = AI/ML, ask questions based on image input Summarizer_fin = Summarize texts in finnish Text-To-Speech_EnglishTTS = Text to speech, ML, CPU Question Answering Memory Network = AI/ML, input a story, tries to answer question. Import_from_Drive = Quick snippet to import stuff from google drive to collab BERT-visualizer-bertviz_colab = Visualize BERT and how it works fb-drQA = Wikipedia based question answering algo, DOESNT WORK ON COLLAB DUE TO MEM RESTRICTIONS fb-Detectron = Detect humans from images, dense, tough to use DeepPavlov hello_bot = DeepPavlov's simple bot that says hello and other simple stuff Tacotron2 and WaveNet text-to-speech demo = Working text-to-speech demo ISR Traininig tutorial = Image Super Resolution, 2x, training tutorial ISR Prediction Tutorial = Image Super Resolution, 2x, tutorial on how to use with pretrained weights ImageColorizerColab = deOldify, images VideoColorizerColab = deOldify, video fast_text_sentiment_analysis = As filename tells, sentiment analysis using fasttext only DeepPavlov_ODQA = Open-domain question answering with DeepPavlov, DOESNT WORK ON COLLAB, MEM RESTR