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accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

bert-extractive-summarizer

Easy to use extractive text summarization with BERT

bert-summarization

Tensorflow implementation of an abstractive summarization model using pre-trained language models

data-analyst-roadmap

datasetsforml1

dual-axis-illusion

Best Illusion of The Year 2019 - First Place Winner

flatris

Fast-paced two-player web game

gcdrb_text_analysis

Workshop Outline and Notes for Text Analysis with NLTK

hands-on-natural-language-processing-with-python

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

how_to_make_a_text_summarizer

This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

machine-learning-projects

py

Repository to store sample python programs for python learning

pyspark

sentence-transformers

Sentence Embeddings with BERT & XLNet

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.