flyforwardfast Goto Github PK

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

bear_voila

Demo bear classifier with fastai and Voila

capsnet-pytorch

Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`

cardashians

Kaggle competition: Don't Get Kicked

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

coursera-ai-for-medicine-specialization

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

coursera-deep-learning-deeplearning.ai

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cs224n-winter17-notes

Course notes for CS224N Winter17

deep_learning_andrew_bin

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-assignment

吴恩达-深度学习-课后作业-答案与总结

deeplearning.ai

吴恩达深度学习作业

deeplearning.ai-gan-specialization-generative-adversarial-networks

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dl-for-har

Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

docs-zh

docsify 中文文档

eda-artifact-detection

Python implementations of machine learning algorithms for motion artifact detection in electrodermal activity (EDA) data

emgcaps

EMG-based hand gesture recognition using Capsule Networks

emgdecomp

Package for decomposing EMG signals into motor unit firings, as used in Formento et al 2021.

encodinghumanactivity

Encoding human activity by considering salient sensors and time points.

examples

Example deep learning projects that use wandb's features.

fastai

The fastai deep learning library, plus lessons and tutorials

fastbook

The fastai book, published as Jupyter Notebooks

flexemg_natelec

Code and data repository for FlexEMG 2020 Nature Electronics publication.

halfrost-field

✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地

hello_world