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.cask

.emacs.d

.emacs.d-1

my emacs

2018-09-intro-to-bayesian

2019-09-26-classes-with-r6

Introductory instruction on classes with R6 by Greg Snow

2020-2021-public

MbareteBot development for the 2020-2021 FLL Season

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

a-hackers-ai-voice-assistant

A hackers AI voice assistant, built using Python and PyTorch.

accessory

adaface

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

aiomysql

aiomysql is a library for accessing a MySQL database from the asyncio

alibaba-mit-speech

Alibaba speech technology

all-programming-e-books-pdf

A Curated List Of Programming Books For C, C++ , Python, JavaScript, NodeJs, ReactJs, Web, JQuery, Flask, Dom, Angular, CSS, HTML for beginners, intermediate, advanced and experts

all-the-icons-dired

Adds dired support to all-the-icons

all-the-icons.el

A utility package to collect various Icon Fonts and propertize them within Emacs.

amusi-awesome-object-detection-latest-

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

anaconda-mode

Code navigation, documentation lookup and completion for Python.

angular-cli

CLI tool for Angular

apue_notes

《UNIX环境高级编程》中文第三版笔记

attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

audio-encryption

Python Code for Implementation for implementation of Symmetric Crypto algorithms on Audio file

audio-pretrained-model

A collection of Audio and Speech pre-trained models.

automatic-image-captioning

A neural network architecture(CNN+LSTM) that automatically generates captions from the images. The model uses ResNet architecture to train the Encoder while DecoderRNN has to be trained with our choice of trainable parameters. I have trained the model on the Microsoft Common Objects in COntext (MS COCO) dataset and have tested the network on fictitious images!

aweshell

Awesome shell extension base on eshell with wonderful features!

awesome-bot

A curated list of awesome Bots.

awesome-bots

The most awesome list about bots ⭐️🤖

awesome-chatbot-list

深度学习聊天机器人资源集合 Awesome chatbot resource list