Lists (2)
Sort Name ascending (A-Z)
Stars
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
Code for the paper "On First-Order Meta-Learning Algorithms"
A PyTorch Library for Meta-learning Research
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Solutions to Exercises in C++ Primer 5th Edition
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
CSView是一个互联网面试知识学习和汇总项目,包括面试高频算法、系统设计、计算机网络、操作系统、C++、Java、golang、MySQL、Redis、K8s、消息队列等常见面试题。
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Python library for CMA Evolution Strategy.
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs,…
带有详细注释的 Redis 3.0 代码(annotated Redis 3.0 source code)。
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
北京航空航天大学(北航)课程作业资料共享计划
Simple implementation of Memetic Algorithm written in python3
PDEBench: An Extensive Benchmark for Scientific Machine Learning