Stars
Machine Learning Engineering Open Book
A playbook for systematically maximizing the performance of deep learning models.
Implementation and modification of Inverse Reinforcement Learning for Text Generation. (https://arxiv.org/abs/1804.11258)
Language model alignment-focused deep learning curriculum
Implementations of selected inverse reinforcement learning algorithms.
Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)
A modular RL library to fine-tune language models to human preferences
pix2tex: Using a ViT to convert images of equations into LaTeX code.
List of companies offering Machine learning and Data Science internships
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
A sample code of the paper published at NGMT-2019.
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)
The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product at…
Code for the paper "Multitasking Framework for Unsupervised Simple Definition Generation" on ACL 2022.
Pre-trained, multilingual sequence-to-sequence models for Indian languages
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Transformer-based image captioning extension for pytorch/fairseq
This repo collects the articles for text attribute transfer
Code for NAACL 2021 paper "Inference Time Style Control for Summarization".
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer (ACL 2021)
The official code repository for MetricMT - a reward optimization method for NMT with learned metrics
BertViz: Visualize Attention in Transformer Models
Python 3.8+ toolbox for submitting jobs to Slurm
A repository of links with advice related to grad school applications, research, phd etc