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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Pytorch implementations of Elastic Weight Consolidation (EWC)
#WORK IN PROGRESS PyTorch Implementation of Supervised and Deep Q-Learning EWC(Elastic Weight Consolidation), introduced in "Overcoming Catastrophic Forgetting in Neural Networks"
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Aware Synapses and Weight Transfer" by Tercan et al., submitted…
source code from the book Genetic Algorithms with Python by Clinton Sheppard
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
这是用C++写的遗传算法，参考《智能算法 30案例分析 第2版》一书，包含TSP、LQR控制器、结合量子算法、多目标优化、粒子群等，由于原作为matlab程序，综合自己思路通过C++写出来，算是练习和开个大坑
OpenGL support library so you can just dive in and write OpenGL code
Automatic extraction of relevant features from time series:
data set for process monitoring on CNC machines
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A Python 3 programming tutorial for beginners.
吴恩达深度学习编程作业原版和答案
Deep Learning Book Chinese Translation
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）