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awesome-rc

bilingual-autoencoder

cnn-encoder-nmt

computationallinguistics

courses

fast.ai Courses

darts

A python library for easy manipulation and forecasting of time series.

data-mining

This repository contains code for the assignments in the course of Data Mining (CSE-5243)

deep-smoke-machine

Deep learning models and dataset for recognizing industrial smoke emissions

diffedit

dl-frameworks-comparison

fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastai

gan_numpy

hashembedding

Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"

lisp-parser

nips-paper-summaries

This repository contains the summaries of projects implemented in this organisation.

numpy_demo

philipshue_googlecalendar

A Python script that can control Philips Hue lights based on events in Google Calendar

pravarmahajan.github.io

Build a Jekyll blog in minutes, without touching the command line.

python-docs-samples

Code samples used on cloud.google.com

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-nlp

Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

richwordsegmentor

Neural word segmentation with rich pretraining, code for ACL 2017 long paper

scikit-learn

scikit-learn: machine learning in Python

subword-lstm-lm

LSTM Language Model with Subword Units Input Representations

tensorflow-vrnn

A variational recurrent neural network implementation in tensorflow

the-best-hashtag

twitterdataanalysis

visual-qa

Keras-based LSTM/CNN models for Visual Question Answering