bitisony's starred repositories

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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shap

A game theoretic approach to explain the output of any machine learning model.

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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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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keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

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AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

DeepImage-an-Image-to-Image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。

java-algorithms-implementation

Algorithms and Data Structures implemented in Java

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berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

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yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

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component-library

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

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image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

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cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

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nn-from-scratch

Implementing a Neural Network from Scratch

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keras-yolo3

Training and Detecting Objects with YOLO3

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rapping-neural-network

Rap song writing recurrent neural network trained on Kanye West's entire discography

NTU-Machine-learning

**大学李宏毅老师机器学习

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SVHN-deep-digit-detector

Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.

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NTU_HYLee_MachineLearning_Homework

作業分享:台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)

CS285_Fa19_Deep_Reinforcement_Learning

My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments

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yolo_v3-tensorflow-ipynb

This repository shows how to deploy YOLO object detection algorithm in tensorflow using python version 3, specifically in Jupyter Notebook.

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NADE

Neural Autoregressive Distribution Estimation

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fastai_deep_learning_course_part2_v3

My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)

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keras-faster-rcnn

Cloned from https://github.com/yhenon/keras-frcnn. Added resnet101 support

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keras-CF-NADE

keras implementation of Neural Autoregressive Distribution Estimator for Collaborative Filtering

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fastai_deep_learning_course_part1_v3

My projects for fast.ai's Practical Deep Learning for Coders course (fast.ai part1v3)

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