Dat Do (cheripai)

cheripai

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Company:Elementary

Location:Los Angeles

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Dat Do's starred repositories

data-centric-ai

Resources for Data Centric AI

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kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

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sd-maskrcnn

Code for SD Mask R-CNN Project

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arc-robot-vision

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

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siamfc-tf

SiamFC tracking in TensorFlow.

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deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

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Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

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numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

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neural_image_captioning

Neural image captioning (NIC) implementation with Keras 2.

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keras-rl

Deep Reinforcement Learning for Keras.

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lime

Lime: Explaining the predictions of any machine learning classifier

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sloth

Sloth is a tool for labeling image and video data for computer vision research.

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neural-enhance

Super Resolution for images using deep learning.

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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csupomona-cs585.github.io

CS585 course website

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data-science

📊 Path to a free self-taught education in Data Science!

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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MOE

A global, black box optimization engine for real world metric optimization.

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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Dynamic-memory-networks-in-Theano

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

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deeplearning-papernotes

Summaries and notes on Deep Learning research papers

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awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

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Recipes

Lasagne recipes: examples, IPython notebooks, ...

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deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

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deep-residual-networks

Deep Residual Learning for Image Recognition

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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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jupyter-vim-binding

Jupyter meets Vim. Vimmer will fall in love.

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scikit-neuralnetwork

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

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PyDataset

Instant access to many datasets in Python.

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i3

A fork of the i3 window manager with gaps and some other features. :warning: i3-gaps has been merged into i3.

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