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elasticsearch-hadoop

:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop

elbow

Flexible Bayesian inference using TensorFlow

electric-vehicle-route-planning-on-google-map-reinforcement-learning

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map

electric-vehicle-routing-problem

Constructive heuristic for solving the EVRP (Electric Vehicle Routing Problem)

elegant

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

elegant-finrl

Elegant FinRL: lightweight, efficient and stable FinRL

elegantrl

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥

elements-of-statistical-learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

elf

An End-To-End, Lightweight and Flexible Platform for Game Research

elf-1

ELF: a platform for game research

elfi

ELFI - Engine for Likelihood-Free Inference

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

elitequant_cpp

C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.

elitequant_python

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

elm

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

elmo-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.

elmo-keras

Re-implementation of ELMo on Keras

elmo-tutorial

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

elmo4irony

ELMo for Irony and Sarcasm Detection

embedded-neural-network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

embedding_vectorizer

Scikit-learn vectorizer implementing "A simple but tough-to-beat baseline for sentence embeddings." by Arora, Sanjeev, Yingyu Liang, and Tengyu Ma. (2016)

embedding_zero-shot-learning

embeddings

embedrank

Python Implementation of EmbedRank

embodiedqa

Train embodied agents that can answer questions in environments

emdl

Embedded and mobile deep learning research resources

emnist

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

emnlp14-semi

emnlp2016-empirical-convincingness

Code and data for EMNLP2016 article "What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation" by Ivan Habernal and Iryna Gurevych