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protobuf icon protobuf

Protocol Buffers - Google's data interchange format

pytorch-book icon pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

radish icon radish

C++ model train&inference framework

rasa_core icon rasa_core

🤖 Open source chatbot framework with machine learning-based dialogue management - Build contextual AI assistants

rasa_nlu icon rasa_nlu

💬 Open source library for natural language understanding with intent classification and entity extraction - DIY NLP for chatbots

redis icon redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

self_driving_pi_car icon self_driving_pi_car

A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.

sif icon sif

sentence embedding by Smooth Inverse Frequency weighting scheme

tensor2tensor icon tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorlayer icon tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

texar icon texar

Toolkit for Text Generation and Beyond

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

tinygrad icon tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

transmogrifai icon transmogrifai

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

treelstm icon treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

trueskill icon trueskill

An implementation of the TrueSkill rating system for Python

uda icon uda

Unsupervised Data Augmentation (UDA)

udify icon udify

A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

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