Yen-Chen Lin (yenchenlin)

yenchenlin

Geek Repo

Company:MIT CSAIL

Location:Cambridge, MA

Home Page:http://yenchenlin.me

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Yen-Chen Lin's repositories

awesome-watchos

A curated list of awesome watchOS frameworks, libraries, sample apps.

rl-attack-detection

Code for "Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight"

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pix2pix-flow

Image-to-image translation with flow-based generative model

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paper-notes

Notes for papers or blog posts about ML, Robotics, CV.

Deep360Pilot-optical-flow

Code for extracting optical flow features for deep 360 pilot

the-military-grind

My memories for military service.

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BicycleGAN

[NIPS 2017] Toward Multimodal Image-to-Image Translation

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drnet_cvpr2017

Detecting Visual Relationships with Deep Relational Networks

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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old-the-military-grind

This book will chronicle my four-month-grind when serving military in Taiwan.

omniglot-45-5

Omniglot 45-5 split dataset

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sumproduct

Sum product algorithm - Belief propagation (message passing) for factor graphs

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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tinyflow

Tutorial code on how to build your own Deep Learning System in 2k Lines

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visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

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图形学书单

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assignment1

Assignment 1: automatic differentiation

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bibs

Annotated bibliographies.

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cleverhans

A library for benchmarking vulnerability to adversarial examples

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homework

Assignments for CS294-112.

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mit-eecs-sm-thesis-proposal-template

MIT EECS S.M. Thesis Proposal Template

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models

Models and examples built with TensorFlow

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nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

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template

This is the repository for the distill web framework

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underactuated

The course text for MIT 6.832 (and 6.832x on edX)

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