Course materials for Fall 2021 "CIS6930 Topics in Computing for Data Science" at New College of Florida

Overview

Fall 2021 CIS6930 Topics in Computing for Data Science

This repository hosts course materials used for a 13-week course "CIS6930 Topics in Computing for Data Science" as part of Graduate Program in Applied Data Science at New College of Florida.

This course requires the student to have basic knowledge in Machine Learning and programming skills in Python. For those who are new to Machine Learning and/or Python programming, refer to this repository, which hosts the course materials for a 3-day seminar on Machine Learning and NLP.

Course Description

This course covers a line of Deep Learning techniques that have been applied to a variety of computer science problems, especially in Computer Vision and Natural Language Processing. The course will start from Deep Learning fundamentals such as basic model architecture and optimization techniques before moving onto more sophisticated techniques. This course covers commonly used techniques for Computer Vision such as Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), and for Natural Language Processing such as Recurrent Neural Networks (RNNs) and Transformer. The aim of this course is to teach both theory and practice while the students are proactively learning to apply the techniques to problems through running their own research projects.

The course also provides self-contained hands-on exercise materials that run on Google Colab, which offer quick introduction to popular "must-know" Python libraries such as Pandas, PyTorch, spaCy, Transformers, and PyTorch Lightning.

Course Schedule & Materials

Term projects

Here is a list of students' term projects that are publicly available at GitHub. They are all great work!

Owner
Yoshi Suhara
Yoshi Suhara
Pytorch implementation of Cut-Thumbnail in the paper Cut-Thumbnail:A Novel Data Augmentation for Convolutional Neural Network.

Cut-Thumbnail (Accepted at ACM MULTIMEDIA 2021) Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Tao Zhou, Ming Liu This is the officia

3 Apr 12, 2022
This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks

NNProject - DeepMask This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks. Th

189 Nov 16, 2022
Code for Learning to Segment The Tail (LST)

Learning to Segment the Tail [arXiv] In this repository, we release code for Learning to Segment The Tail (LST). The code is directly modified from th

47 Nov 07, 2022
Code for database and frontend of webpage for Neural Fields in Visual Computing and Beyond.

Neural Fields in Visual Computing—Complementary Webpage This is based on the amazing MiniConf project from Hendrik Strobelt and Sasha Rush—thank you!

Brown University Visual Computing Group 29 Nov 30, 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks

This package requires jax, tensorflow, and numpy. Either tensorflow or scikit-learn can be used for loading data. To run in a nix-shell with required

Felix Biggs 0 Feb 04, 2022
This repository provides the code for MedViLL(Medical Vision Language Learner).

MedViLL This repository provides the code for MedViLL(Medical Vision Language Learner). Our proposed architecture MedViLL is a single BERT-based model

SuperSuperMoon 39 Jan 05, 2023
Commonsense Ability Tests

CATS Commonsense Ability Tests Dataset and script for paper Evaluating Commonsense in Pre-trained Language Models Use making_sense.py to run the exper

XUHUI ZHOU 28 Oct 19, 2022
RL algorithm PPO and IRL algorithm AIRL written with Tensorflow.

RL algorithm PPO and IRL algorithm AIRL written with Tensorflow. They have a parallel sampling feature in order to increase computation speed (especially in high-performance computing (HPC)).

Fangjian Li 3 Dec 28, 2021
A Data Annotation Tool for Semantic Segmentation, Object Detection and Lane Line Detection.(In Development Stage)

Data-Annotation-Tool How to Run this Tool? To run this software, follow the steps: git clone https://github.com/Autonomous-Car-Project/Data-Annotation

TiVRA AI 13 Aug 18, 2022
Volumetric parameterization of the placenta to a flattened template

placenta-flattening A MATLAB algorithm for volumetric mesh parameterization. Developed for mapping a placenta segmentation derived from an MRI image t

Mazdak Abulnaga 12 Mar 14, 2022
PyTorch implementation of the supervised learning experiments from the paper Model-Agnostic Meta-Learning (MAML)

pytorch-maml This is a PyTorch implementation of the supervised learning experiments from the paper Model-Agnostic Meta-Learning (MAML): https://arxiv

Kate Rakelly 516 Jan 05, 2023
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning

VisualGPT Our Paper VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning Main Architecture of Our VisualGPT Downloa

Vision CAIR Research Group, KAUST 140 Dec 28, 2022
Fake News Detection Using Machine Learning Methods

Fake-News-Detection-Using-Machine-Learning-Methods Fake news is always a real and dangerous issue. However, with the presence and abundance of various

Achraf Safsafi 1 Jan 11, 2022
Robustness between the worst and average case

Robustness between the worst and average case A repository that implements intermediate robustness training and evaluation from the NeurIPS 2021 paper

CMU Locus Lab 16 Dec 02, 2022
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels

Simple and Robust Loss Design for Multi-Label Learning with Missing Labels Official PyTorch Implementation of the paper Simple and Robust Loss Design

Xinyu Huang 28 Oct 27, 2022
🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python

Cogitare is a Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python. A friendly interface for beginners and a powerful too

Cogitare - Modern and Easy Deep Learning with Python 76 Sep 30, 2022
Code for our paper "Interactive Analysis of CNN Robustness"

Perturber Code for our paper "Interactive Analysis of CNN Robustness" Datasets Feature visualizations: Google Drive Fine-tuning checkpoints as saved m

Stefan Sietzen 0 Aug 17, 2021
Official implementation of Deep Convolutional Dictionary Learning for Image Denoising.

DCDicL for Image Denoising Hongyi Zheng*, Hongwei Yong*, Lei Zhang, "Deep Convolutional Dictionary Learning for Image Denoising," in CVPR 2021. (* Equ

Z80 91 Dec 21, 2022
Brain Tumor Detection with Tensorflow Neural Networks.

Brain-Tumor-Detection A convolutional neural network model built with Tensorflow & Keras to detect brain tumor and its different variants. Data of the

404ErrorNotFound 5 Aug 23, 2022
An executor that performs image segmentation on fashion items

ClothingSegmenter U2NET fashion image/clothing segmenter based on https://github.com/levindabhi/cloth-segmentation Overview The ClothingSegmenter exec

Jina AI 5 Mar 30, 2022