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machinelearning_zhouzhihua_problemsets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

masr

中文语音识别，高识别率预训练模型，支持docker快速安装 Chinese Speech Recognition; Mandarin Automatic Speech Recognition;

mmdetection

Open MMLab Detection Toolbox and Benchmark

my_repository

myth

Type-and-example-driven program synthesis for functional programming languages

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

neuralkanren

Neural Guided Constraint Logic Programming for Program Synthesis

opennre

An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow

pccoder

Implementation of the paper "Automatic Program Synthesis of Long Programs with a Learned Garbage Collector"

pro_gan_pytorch

ProGAN package implemented as an extension of PyTorch nn.Module

program-synthesis-benchmark-datasets

Repository of datasets for the General Program Synthesis Benchmark Suite

program_synthesis

Program Synthesis

project-527

Example-Directed Program Synthesis: Review and Test Cases

project_mym

Combined computer vision techniques and convolutional neural networks to accurately classify chess pieces and identified their location on a chessboard. Tools: Python, Google Cloud, Keras, TensorFlow, OpenCV, Pillow, Scikit-learn, NumPy, Seaborn, and others

pwc

Papers with code. Sorted by stars. Updated weekly.

pykanren

an attempt to implement miniKanren and microKanren in Python

python_interview_question

关于python的面试题

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-recode

Pytorch implementation of EMNLP18 paper "Retrieval-Based Neural Code Generation"

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-transformer

pytorch implementation of Attention is all you need

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

shap

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

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

sketch-simplification

My implementation of the sig 16 paper : Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup

sketch_simplification

Models and code related to sketch simplification of rough sketches.

srez

Image super-resolution through deep learning

style2paints

sketch + style = paints :art: