sra1github Goto Github PK

advanced-nlp-projects-with-tensorflow-2.0

arae-tf

ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)

automl_service

Deploy AutoML as a service using Flask

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-rl

Reinforcement learning resources curated

awesome-text-generation

A curated list of recent models of text generation and application

awesome_time_series_in_python

This curated list contains python packages for time series analysis

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

beamsearch_lm

Beam-search with Language Model for CTC Decoding

bert

TensorFlow code and pre-trained models for BERT

bert-chainer

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

collaborative-filtering-using-keras

Collaborative filtering using Embedding Layers in Keras.

cs20

CS20 (Tensorflow) 정리

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-learning-with-tensorflow-book-en

Open Source eBook for Deep Learning with TensorFlow 2.0+ version.

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

detect_object

dialogue

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

flight-delays

Analysis of flight delay data using logistic regression, random forest, and k-nearest neighbors classification

free-programming-books

:books: Freely available programming books

ganhacks

starter from "How to Train a GAN?" at NIPS2016

google-project-autocomplete

In this project I implement the feature of auto-completion of sentences from articles, documentation and information files on various technological topics. In order to make the user experience of the Google search engine better. This project was done under the guidance of professional mentors and in collaboration with Google.

gpt-2-simple

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP