Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…

Implementation of BERT for text classification

A sandbox for fast image classification experiments. Define a custom network architecture using provided building blocks in seconds, then run an experiment!

transformer from scratch

Repository for a transformer I coded from scratch and trained on the tiny-shakespeare dataset.

A multi-modal generative AI model that generates captions for images

Explore drug-like space with deep generative models

English to French Translator with Transformer model

Repository for Yowlumne data and scripts for WIELD

Counting currency from video using RepNet as a base model.

Capstone Project related to Transformer based Machine Translation

toyGPT - A Hands-On Project in Building a Basic GPT Model

An ablation study on the transformer network for Natural Language Processing

A small language model trained on famous literary works in Japanese.

Vaswani Paper analysis for personal Transformer studies

Applying regular transformer and decision transformer on solving the Rubik's cube. A paper is also written to document the results

Implementations and resources related to Attention Mechanisms in Natural Language Processing (NLP)

3D Eye Segmentation Track 1 OpenEDS 2021, Point Transformer and other CNN based models Implementation

An introduction to attention mechanisms and the vision transformer

🚀Transformer Model by Pytorch