shaoboh Goto Github PK

12306

12306智能刷票，订票

2019-ncov

全国新型冠状肺炎疫情每日数据动态

2d-tan

AAAI‘20 - Learning 2D Temporal Localization Networks for Moment Localization with Natural Language

500lines

500 Lines or Less

acapellabot

Acapella Extraction with a ConvNet

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

alibaba-mit-speech

Alibaba speech technology

anogan-keras

Unsupervised anomaly detection with generative model, keras implementation

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

audio-deepdream-tf

Deep dreams on audio spectrograms get resynthesized for deep-learning generated audio effects.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bandwidth_extension

battery_ad_gcn

Abnormal battery health status detection

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

beijing_bus

北京实时公交 for Python

black

The uncompromising Python code formatter

bullshitgenerator

Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.

charge_plot

plot demo

cheetah

On-device speech-to-text engine powered by deep learning

chinese-calendar

判断一天是不是法定节假日/法定工作日（查看节假日安排）

clause

:horse_racing: 聊天机器人，自然语言理解

cnc_remastered_collection

code_snippets

commonfate

conv-tasnet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).