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eunn-tensorflow

Efficient Unitary NN implementation in tensorflow

eureqa.jl

Simple symbolic regression in Julia+Python via regularized evolution and simulated annealing

europython2016_dl-nlp

Introduction to Deep Learning for Natural Language Processing

eurule-core

Build your own rule predicates based on the miniEugene rules.

eurule-web

The Web-based UI for euRule

eval-on-nn-of-rc

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

evalai

:cloud: Evaluating state of the art in AI

evalset

Benchmark suite of test functions suitable for evaluating black-box optimization strategies

eve

Better tools for thought

event-tensors

Code and Datasets for the AAAI 2018 paper "Event Representations with Tensor-based compositions"

evm-semantics

K Semantics of the Ethereum Virtual Machine (EVM)

evolution-strategies-starter

Starter code for Evolution Strategies

evolutionsimulator

Evolution Simulator using NeuroEvolution. Created with Matter.js, p5.js and Tensorflow.js

evolve-parities

evonet

Evolve random projection based neural networks.

evotorch

EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

example-basic-greetings

Sample repo for tutorial 01 "Hello, goodbye"

example-basic-weather

Example repo for Init.ai tutorial 02 "What's the weather?"

examples

Example code supporting articles

examples-1

Examples of WhizzML scripts

examples-2

A repository to host extended examples and tutorials

exbert

A Visual Analysis Tool to Explore Learned Representations in Transformers Models

exbert-assets

Contains large demo files needed to statically deploy examples for exBERT (https://github.com/bhoov/exbert)

exchange-simulator

excitement-open-platform

Excitement Open Platform for Recognizing Textual Entailments

exelixi

Exelixi is a distributed framework based on Apache Mesos, mostly implemented in Python using gevent for high-performance concurrency. It is intended to run cluster computing jobs (partitioned batch jobs, which include some messaging) in pure Python. By default, it runs genetic algorithms at scale.

experimental-mf

cache-friendly multithread matrix factorization

explagraphgen

[ACL 2022] PyTorch code for Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning

explorableexplanations.github.io

The Explorable Explanations Website

exploratory-data-analysis

Spark library for doing exploratory data analysis in a scalable way