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2d-cnn-for-mnist-digit-recognition-from-scratch

2D CNN for MNIST digit recognition from scratch

adhan

Adhan App

admiralsquidstatapi

This repo includes documentation for public viewing regarding the Admiral Instruments API.

aggregatingalgorithm

induction into and investigations of Aggregating Algorithm

algos-imp-from-scratch

Implemention of machine learning algorithms from scratch.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-nlp-resources

This repository contains landmark research papers in Natural Language Processing that came out in this century.

bionlp

Repository for student projects within biomedical text mining from Lund University

comp.5420-nlp-project

da-en-machine-translation

data-centric-nlp

✨ Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP

datacamp

DataCamp offers interactive R, Python, Sheets, SQL and shell courses. All on topics in data science, statistics and machine learning.

datasciencecoursera

Data Science Specialization

datasharing

The Leek group guide to data sharing

diseases-ner

Named Entity Recognition (NER) of diseases

entropy_estimators

Estimators for the entropy and other information theoretic quantities of continuous distributions

es-clip-image-search

Sample implementation of natural language image search with OpenAI's CLIP and Elasticsearch or Opensearch.

getting-started-with-the-twitter-api-v2-for-academic-research

A course on getting started with the Twitter API v2 for academic research

haystack

:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

improved-ear-clipping

Implementation of the Improved Ear Clipping algorithm for faster and robust polygon triangulation. This repository includes code for generating random polygons, implementing the basic and improved Ear Clipping algorithms, and testing the performance difference between them.

information-theory-in-deep-learning

This is a tensorflow implementation, aiming at using the Mutual Neural Estimator proposed in (MINE, Belghazi et al) to reconstruct the images of Tishby and Zariv's paper, which can be found here: https://arxiv.org/abs/1703.00810 . Please be aware that the argument of 'compression' in the layers as a cause of extracting features is a little misleading since the mutual information is invariant under nonlinear transformations as described here: https://arxiv.org/abs/1810.05728 which was recently published.

instance-based-ner

intro-to-dl

Resources for "Introduction to Deep Learning" course.

jargonproject

learndatascience

Open Content for self-directed learning in data science

life-after-bert

meditron

Meditron is a suite of open-source medical Large Language Models (LLMs).

minizinc-examples

small MiniZinc examples demonstrating various language features

ml-mipt-part2

Materials of ML course at MIPT part 2

mldm-2019

Course