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auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

auto-sklearn

Automated Machine Learning with scikit-learn

autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

ceemdan

Implemantasi Ceemdan pada python

ceemdan-1

Empirical Mode Decomposition (EMD)

deep-reinforcement-learning-book

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

deeph-pack

Deep neural networks for density functional theory Hamiltonian.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning-tensorflow2

本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较流行的：RCNN系列、SSD、YOLO系列等。

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dl-models

Collection of RNN GAN SNN CNN in Tensorflow

e200_opensource

Deprecated, please go to next generation Ultra-Low Power RISC-V Core https://github.com/riscv-mcu/e203_hbirdv2

ensemble-pytorch

Implementations of Scikit-Learn like Ensemble Methods in Pytorch

fate

An Industrial Grade Federated Learning Framework

ferminet

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

finrl

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

gtn

Automatic differentiation with weighted finite-state transducers.

helloworld

hyperspectral

Deep Learning for Land-cover Classification in Hyperspectral Images.

imbalancelearning

learn2learn

A PyTorch Library for Meta-learning Research

microservice-mallmanagement

微服务架构商城管理测试项目

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

oil-natural-gas-price-prediction

Oil & Natural Gas prie prediction using ARIMA & Neural Networks

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pygaps

A framework for processing adsorption data and isotherm fitting

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

recommender-system

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.