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deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

depix

Recovers passwords from pixelized screenshots

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dtale

Visualizer for pandas data structures

e2fgvi

Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

electric-vehicle-battery-range-prediction

Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).

ensemble-learning

ev-battery-degradation

Machine Learning pipeline to predict the Remaining Useful Life (RUL) of Li-ion batteries for EVs

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

finding-remaining-useful-life-of-a-battery-using-particle-filter

Capacity values of Lithium Ion Battery is used as a prognostic method in order to predict the remaining useful life of Lithium-ion batteries. The state space model for Lithium Ion Battery to access Capacity Degradation is constructed using standard particle filter . Once the state space model is determined, the extrapolations of the state space model to a specific failure threshold are performed to obtain the remaining useful life of the lithium-ion batteries

finetuner

Finetuning any DNN for better embedding on neural search tasks

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

forecasting-battery-life

Forecasting Remaining Useful Life (RUL) using NASA Li-Ion Battery Dataset

free-excel

开源Excel教程。

free-programming-resources

💎 免费的编程资源大全，持续更新！🔥 覆盖各种语言和方向（Java \ Python \ C++ \ JavaScript \ Golang \ 前端 \ 后端等）的学习路线、贴心教程、项目实战、编程书籍、面试合集、实用资源等，对程序员非常有帮助！

freqtrade

Free, open source crypto trading bot

fun-rec

推荐系统中文教程

genshin_auto_fish

基于深度强化学习的原神自动钓鱼AI

gluon-ts

Probabilistic time series modeling in Python

gradio

Create UIs for your machine learning model in Python in 3 minutes

graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

greykite

A flexible, intuitive and fast forecasting library

hub

Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège