Tzu-Chan (Alice) Chuang (TzuChanChuang)

TzuChanChuang

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Company:@lyft

Location:Palo Alto

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Tzu-Chan (Alice) Chuang's starred repositories

models

Models and examples built with TensorFlow

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darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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SeqGAN_tensorflow

SeqGAN tensorflow implementation

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stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

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AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

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LeetCode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

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awesome-courses

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

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cs231n.github.io

Public facing notes page

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files

面经文件

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mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

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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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cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

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awesome-deep-learning-papers

The most cited deep learning papers

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tutorials

机器学习相关教程

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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go-ethereum

Go implementation of the Ethereum protocol

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magenta

Magenta: Music and Art Generation with Machine Intelligence

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KerasGAN

A couple of simple GANs in Keras

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CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

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ISLR_notes

Notes included mathematical proofs related to Machine Learning or Statistical Learning.

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stat212b

Topics Course on Deep Learning UC Berkeley

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dnc

A TensorFlow implementation of the Differentiable Neural Computer.

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pix2pix

Image-to-image translation with conditional adversarial nets

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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MachineLearning-boston-housing

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools, Identified the best price that a client can sell their house utilizing machine learning.

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keras

Deep Learning for humans

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