stjordanis Goto Github PK

nl_trajectory_reshaper

Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers

nlp_highlights

✨ A report of the most important NLP highlights (A Yearly Report - 2018, 2019)

nlp_news_classifier

complete end to end news classifier project for intermediate NLP guys..

nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

nlp_papers

nlp_profiler

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

nlp_tasks

Natural Language Processing Tasks and References

nlp_with_tensorflow

NLP tutorials I have written using TensorFlow

nlrl

Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)

nls

Non linear least squares interfae for kdb+

nlsolve.jl

Julia solvers for systems of nonlinear equations and mixed complementarity problems

nlsolvers.jl

No bells and whistles foundation of Optim.jl

nlsolversbase.jl

Base package for optimization and equation solver software in JuliaNLSolvers

nlsolverstools.jl

nlsproblems.jl

Nonlinear Least Squares problems

nlstm

Nested LSTM Cell

nltk

NLTK Source

nltk_book

NLTK Book

nlu

1 line for hundreds of NLP models and algorithms

nlu-training-data

Crowd sourced training data for Rasa NLU models

nmap

Nmap - the Network Mapper. Github mirror of official SVN repository.

nmap-for-penetration-testing-from-beginner-to-advanced-updated-for-2021

nmap-scans

nmf.jl

A Julia package for non-negative matrix factorization

nmn-drop

Neural Module Network for Reasoning over Text, ICLR 2020

nmp_qc

Neural Message Passing for Computer Vision

nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

nmt

TensorFlow Neural Machine Translation Tutorial

nmt-with-attention-mechanism

In this project I implement Neural Machine Translation using Attention mechanism. The code is written using the TensorFlow library in Python. I have used TensorFlow functionalities like tf.data.Dataset to manage the input pipeline, Eager Execution and Model sub classing to create the model architecture.