nattari

awesome-deep-learning-papers

azure-data-science-e2e

cola_instructions

Instructions for COLA Game

course-nlp

A Code-First Introduction to NLP course

cub-group-caption

Generate description for a group of images.

Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

Deep-Cross-Modal-Projection-Learning-for-Image-Text-Matching

Deep Cross-Modal Projection Learning for Image-Text Matching

fairseq-image-captioning

Transformer-based image captioning extension for pytorch/fairseq

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Image-Caption

Using LSTM or Transformer to solve Image Captioning in Pytorch

nattari/awesome-deep-learning-papers

nattari/azure-data-science-e2e

nattari/cola_instructions

Instructions for COLA Game

nattari/course-nlp

A Code-First Introduction to NLP course

nattari/cub-group-caption

Generate description for a group of images.

nattari/Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

nattari/Deep-Cross-Modal-Projection-Learning-for-Image-Text-Matching

Deep Cross-Modal Projection Learning for Image-Text Matching

nattari/fairseq-image-captioning

Transformer-based image captioning extension for pytorch/fairseq

nattari/generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

nattari/Image-Caption

Using LSTM or Transformer to solve Image Captioning in Pytorch

nattari/large-language-models

Notebooks for Large Language Models (LLMs) Specialization

nattari/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

nattari/MultimodalExplanations

Code release for Park et al. Multimodal Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. in CVPR, 2018

nattari/Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

nattari/nattari.github.io

nattari/Neural-Networks-Demystified

Supporting code for short YouTube series Neural Networks Demystified.

nattari/PyTorch-Beam-Search-Decoding

PyTorch implementation of beam search decoding for seq2seq models

nattari/SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

nattari/slurk

Slurk (think “slack for mechanical turk”…) is a lightweight and easily extensible chat server built especially for conducting multimodal dialogue experiments or data collections.

nattari/tbd-nets

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

nattari/VQA

Set up vqa v2.0

nattari/vsepp

PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"