boscoj2008 Goto Github PK

584-final

Sentence Embeddings using Supervised Contrastive Learning. Danqi Liao.

a-roadmap-for-transfer-learning

flowchart

ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

anomaly-detection-using-autoencoders

This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

appliedml_python_coursera

Material and note of the course of Applied ML in Python

bertgcn

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

blocklib

Python implementations of record linkage blocking techniques.

boscoj2008.github.io

Data Science Portfolio

brio

ACL 2022: BRIO: Bringing Order to Abstractive Summarization

classification-using-support-vector-machine

clustertransformer

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

contextualblocker-for-em

A Graph-Based Blocking Approach for Entity Matching Using Contrastively Learned Embeddings

coursera

ctua

dacon

Data Augmentation for Entity Matching using Consistency Learning

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

data-engineering-with-python

Data Engineering with Python, published by Packt

datacamp

A repository that contains courses I have taken on DataCamp

datasets

CSV datasets used in Plotly examples and documentation

dec_pytorch

declutr

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

deep-k-means

deep-learning-for-clustering-in-bioinformatics

Deep Learning-based Clustering Approaches for Bioinformatics

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-subspace-clustering-networks

deepblocker

Repository for performing Blocking using Deep Learning based on the paper "Deep Learning for Blocking in Entity Matching: A Design Space Exploration"

deeper

Entity Resolution system

deeplearning_plantdiseases

Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.

diabetes-classification

KNN algorithm, data file and notebook