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• Caption Generation system based on LSTM and image features extracted using pretrained FC7 Net
[WIP] Examples for the Intro to ML with Kubeflow book
Keras implementations of Generative Adversarial Networks.
Concatenate word and character embeddings in Keras
This contains language modelling using unigram,bigram and trigram language modelling along with various smoothing techniques like Laplace smoothing, Good Turning and Interpolation. All of the techniques are applied on the brown dataset.
Oxford Deep NLP 2017 course
Sentiment Analysis with LSTMs in Tensorflow
Machine Learning;Deep learning
An analysis of tweets with K-Means, Latent Dirichlet Allocation, and MultiDimensional Scaling
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
Build a bot that speaks like you!
List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful
Implemented a ngram language model with laplace, witten-bell and kneser-ney smoothing
A collection of named entity recognition (NER)
Resources for "Natural Language Processing" Coursera course.
BERT-NER (nert-bert) with google bert https://github.com/google-research.
Using transformers to predict next word and predict <mask> word
A software which creates n-Gram (1-5) Maximum Likelihood Probabilistic Language Model with Laplace Add-1 smoothing and stores it in hash-able dictionary form
Python implementation of an N-gram language model with Laplace smoothing and sentence generation.
The repository contains all assignments of CS6120 NLP courses, including Character-Level N-gram Language Model, HMM-POS tag.
Natural Language Processing Tutorial for Deep Learning Researchers
✍️ A carefully curated list of NLP paper summaries
2020 NTU WebIR Final - Optimal Query Recommendation Model
Practical Time-Series Analysis, published by Packt
next word prediction
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
Question auto-completion using a typed LSTM language model
Query Auto-Completion using generative language models RNN(bi-LSTM) and GPT-2
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.