Stars
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Fast SymSpell written in c++ and exposes to python via pybind11
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
Tutorials on training and testing retrieval-based models (DrQA & DPR)
The PyTorch code for paper: An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss
Code for EMNLP2019 paper "Low-Resource Response Generation with Template Prior"
List of DL topics and resources essential for cracking interviews
Acceptance rates for the major AI conferences
Fine-grained Text Sentiment Transfer(ACL 2019)
Conditional Transformer Language Model for Controllable Generation
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
A BERT-Based Machine Reading Comprehension Baseline
State-of-the-art 2D and 3D Face Analysis Project
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
Author implementation of the paper "CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge"
Response generation giving specific emotion.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Personalized Fashion Recommendation and Generation
A repository to curate and summarise research papers related to fashion and e-commerce
A Telegram bot to monitor and control deep learning experiments
This repository contains the Pytorch implementation for our SCAI (EMNLP-2018) submission "A Knowledge-Grounded Multimodal Search-Based Conversational Agent"
Learn how to design, develop, deploy and iterate on production-grade ML applications.
The guide to tackle with the Text Summarization