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Lunde Chen's Projects

accel-brain-code icon 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.

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https://reveurmichael.github.io/adblockplus/list.txt

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Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

automata icon automata

A Python library for simulating finite automata, pushdown automata, and Turing machines

book icon book

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

bsl icon bsl

:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R

carla icon carla

Open-source simulator for autonomous driving research.

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

dartbrains icon dartbrains

This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.

data-setup icon data-setup

Setup instructions for Le Wagon's students on their first day of Data Science Bootcamp

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