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dokku

A docker-powered PaaS that helps you build and manage the lifecycle of applications

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dotfiles

dot files like .emacs.d .bashrc ...

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dreamerv2

Mastering Atari with Discrete World Models

dxy-covid-19-data

2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

ecosystem

Integration of TensorFlow with other open-source frameworks

elmoformanylangs

Pre-trained ELMo Representations for Many Languages

emacs

Mirror of GNU Emacs

emacs-config-for-newbie-clojurian

emacs.el

my emacs config

emacs_config

emotionnet

Convolutional Neural Network for Emotion Recognition

enroot

A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes.

espnet

End-to-End Speech Processing Toolkit

etcher

Flash OS images to SD cards & USB drives, safely and easily.

etri922

ETRI AI Academy 922

evcxr

exposure

An "infinite"-resolution and interpretable GAN. It works based on a differentiable photo editing model and reinforcement learning. (ACM Transactions on Graphics, presented at SIGGRAPH 2018)

faas

OpenFaaS - Serverless Functions Made Simple for Docker & Kubernetes

fabric

Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/fabric

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

face-alignment-at-3000fps

The project is an C++ implementation of Face Alignment at 3000fps via Regressing Local Binary Features

face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

faceswap-gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

face_segmentation

Deep face segmentation in extremely hard conditions

facial-expression-recognition

The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training