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2016-ml-contest

Machine learning contest - October 2016 TLE

ai-in-well-logging

人工智能在石油测井上的应用包括采用机器学习，深度学习等相关方法进行岩性识别与相关测井曲线的回归。The application of artificial intelligence in well logging includes the use of machine learning, deep learning and other related methods for lithology identification and regression of related well logging data.

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

amcharts4

The most advanced amCharts charting library for JavaScript and TypeScript apps.

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

automatic-facies-classification-with-t-sne-and-k-nearest-neighbors-algorithm

avem

🚁 轻量级无人机飞控-[Drone]-[STM32]-[PID]-[BLDC]

awesome-embedded

A curated list of awesome embedded programming.

awesome-machine-learning

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

awesome-normalizing-flows

Awesome resources on normalizing flows.

classificador-geoqu-mico-de-granitos-tipo-i-e-tipo-s-utilizando-modelos-svm

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cv_isbn

CV课程作业，ISBN号图像识别，训练集100张正确率70%准确率91%，测试集正确率51%准确率87%

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

da-rnn

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

dlf

Code for reproducing results in "Generative Model with Dynamic Linear Flow"

echarts-examples

Examples of ECharts

examples

TensorFlow examples

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

freemodbus_slave-master-rtt-stm32

Add master mode to FreeModbus. | 在 FreeModbus 中添加主机模式

graphembedding

Implementation and experiments of graph embedding algorithms.

imv_lstm

Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

keil5-

lithology-classification

logicstack-leetcode

公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

my_code

my_code