一碗米线's Projects
An Automatic Speech Recognition Frame ,一个中文语音识别的完整框架, 提供了多个模型
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
Semi-automated preprocessing of NIRS data
Config files for my GitHub profile.
Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).
An lib with a set of tools that can be used in chemometrics analysis
Extreme Learning Machine implementation in Python
收集了一些Python相关资料
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Module for reading, exploring and converting *.spc spectroscopic binary data in Python.
A parser for the SPC file format
A writer for the Thermo Galactic SPC file format, written in Python
something used to learning