470 Open source projects that are alternatives of or similar to Cs224d

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

NLP in Python with Deep Learning

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

This is an open sourced book on deep learning.

Web application providing a fully localised interface for text/website/document translation, analysis and generation powered by Apertium.

A Natural Language Toolkit for Indian Languages

A simple zero-dependency React component for tagging user-defined entities within a block of text.

Automated Driving in NFS using CNN.

plugin to check spelling

Data-centric declarative deep learning framework

Deep Learning with TensorFlow and Keras

A tool that AI automatically recommends commit messages.

Use Watson Natural Language Understanding and Watson Knowledge Studio to fingerprint personal data from unstructured documents

IEML semantic language - a meaning-representation system based on semantic primitives and a regular grammar. Basic semantic relationships between concepts are automatically computed from syntactic similarities.

(arXiv:1509.06664) Reasoning about Entailment with Neural Attention.

Liquid State Machines in Python and NEST

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Tensorflow tutorial on convolutional neural networks.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Recurrent Neural Network using randomized SMILES strings to generate molecules

A Python-Tensorflow neural network for classifying cancer data

TypeScript framework to build cross-platform voice applications (alexa, google home, ...).

Text classifier for Hierarchical Attention Networks for Document Classification

A simple open domain generative based chatbot based on Recurrent Neural Networks

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Machine Reading Comprehension in Tensorflow

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

RMDL: Random Multimodel Deep Learning for Classification

A python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

NMA deep learning course

MNIST classification in Tensorflow using Django

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

The pluggable natural language linter for text and markdown.

Tensorflow 2.0 Tutorials

Keras Temporal Convolutional Network.

Reinforcement Learning for Portfolio Management

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

parsing scene images with understanding geometric perspective in the loop

plugin to transform from remark (Markdown) to retext (natural language)

Grammar checking and more for IntelliJ IDEA

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Convert numerical numbers to written numbers, in 25+ languages.

Adversarial Training for Natural Language Understanding

Run TensorFlow models in C++ without installation and without Bazel

An application that monitors a Twitter feed and determines customer sentiment using IBM Watson Assistant, Tone Analyzer, Natural Language Understanding, as well as CloudantDB

How to use TensorLayer

Natural language detection

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)