mathys-guy Goto Github PK

activelearning.nlp

ActiveLearning for training NLP models in R

arelle

Arelle open source XBRL platform

cmhse

The code repository for "Cross-Modal and Hierarchical Modeling of Video and Text" in PyTorch

datasciencepython-applied-data-science-capstone

datasciencepython-applied-ml-in-python

This Repository contains Weekly modules and assignments from the course 'Applied Machine Learning in Python', Part of the Applied 'Data Science in Python specialisation' from University of Michigan.

datasciencepython-applied-social-network-analysis-in-python

Course - 5; Specialization: Applied Data Science with Python; University Of Michigan

datasciencepython-applied-text-mining-in-python

This repository contains graded assignments in python-3 language of the course 'Applied text mining in Python', part of the specialisation 'Applied data Science using Python' by University of Michigan offered by Coursera.

datasciencepython-introduction-to-data-science-in-python

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

datasciencespecialization-age_calculation

datasciencespecialization-analysis

Peer-graded Assignment: Getting and Cleaning Data Course Project 2021

datasciencespecialization-courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencespecialization-datasharing

The Leek group guide to data sharing

datasciencespecialization-developing_data_products

datasciencespecialization-practical-machine-learning-2016

Practical machine Learning 2016

datasciencespecialization-programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

datasciencespecialization-r-markup-and-leaflet

datasciencespecialization-repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

datasciencespecialization-toolbox

Data Science - Toobox 2021l

deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

fatcat-scholar

search interface for scholarly works

fga

finbert

Financial Sentiment Analysis with BERT

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

glico-learning-small-sample

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

graphcut

Graph cut image segmentation with custom GUI.

infranodus

A Node.Js / Neo4J tool that translates words and relations into network graphs and shows you how it all connects.

iron-man-jarvis

Jarvis is a fully accelerated, application framework for building multimodal conversational AI services that use an end-to-end deep learning pipeline (Figure 1). The Jarvis framework includes pretrained conversational AI models, tools, and optimized end-to-end services for speech, vision, and NLU tasks. In addition to AI services, Jarvis enables you to fuse vision, audio, and other sensor inputs simultaneously to deliver capabilities such as multi-user, multi-context conversations in applications such as virtual assistants, multi-user diarization, and call center assistants. Using Jarvis, you can easily fine-tune state-of-art-models on your data to achieve a deeper understanding of their specific contexts. Optimize for inference to offer real-time services that run in 150 ms compared to the 25 seconds required on CPU-only platforms.

learning-to-learn

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

makeittalk

mask_rcnn-tf2

Mask R-CNN matterport fork updated to support TF 2.0