Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch

Last update: Dec 31, 2022

Overview

Get SH*T Done with PyTorch

Learn how to solve real-world problems with Deep Learning models (NLP, Computer Vision, and Time Series). Go from prototyping to deployment with PyTorch and Python!

Read the book here

📖 Read for FREE

The whole book can be read using the links below. Each part contains a notebook that you can find in this repository.

Consider buying the book if you want to support my work. Thanks for stopping by! 🤗

Owner

Venelin Valkov

GitHub Repository https://www.curiousily.com/

EdiTTS: Score-based Editing for Controllable Text-to-Speech

Official implementation of EdiTTS: Score-based Editing for Controllable Text-to-Speech

99 Jan 02, 2023

Code for Emergent Translation in Multi-Agent Communication

Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent Translation in Multi-Agent Comm

75 Jul 15, 2022

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specia

89 Nov 10, 2022

DAGAN - Dual Attention GANs for Semantic Image Synthesis

Contents Semantic Image Synthesis with DAGAN Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Evalu

104 Oct 08, 2022

Auto_code_complete is a auto word-completetion program which allows you to customize it on your needs

auto_code_complete is a auto word-completetion program which allows you to customize it on your needs. the model for this program is one of the deep-learning NLP(Natural Language Process) model struc

2 Feb 22, 2022

The ability of computer software to identify words and phrases in spoken language and convert them to human-readable text

speech-recognition-py Speech recognition is the ability of computer software to identify words and phrases in spoken language and convert them to huma

1 Apr 03, 2022

ChatBotProyect - This is an unfinished project about a simple chatbot.

chatBotProyect This is an unfinished project about a simple chatbot. (union_todo.ipynb) Reminders for the project: Find why one of the vectorizers fai

0 Jul 24, 2022

This project is part of Eleuther AI's quest to create a massive repository of high quality text data for training language models.

42 Dec 13, 2022

Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models.

Tevatron Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models. The toolkit has a modularized

193 Jan 04, 2023

Trains an OpenNMT PyTorch model and SentencePiece tokenizer.

Trains an OpenNMT PyTorch model and SentencePiece tokenizer. Designed for use with Argos Translate and LibreTranslate.

61 Dec 13, 2022

A minimal code for fairseq vq-wav2vec model inference.

vq-wav2vec inference A minimal code for fairseq vq-wav2vec model inference. Runs without installing the fairseq toolkit and its dependencies. Usage ex

7 Nov 15, 2022

Contact Extraction with Question Answering.

contactsQA Extraction of contact entities from address blocks and imprints with Extractive Question Answering. Goal Input: Dr. Max Mustermann Hauptstr

2 Apr 20, 2022

This repository serves as a place to document a toy attempt on how to create a generative text model in Catalan, based on GPT-2

GPT-2 Catalan playground and scripts to train a GPT-2 model either from scrath or from another pretrained model.

1 Jan 28, 2022