Jaycee's starred repositories
awesome-cs-books
🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
gem5_chips
gem5 repository to study chiplet-based systems
machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
ReID_tutorial_slides
《深度学习与行人重识别》课程课件
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
pumpkin-book
《机器学习》（西瓜书）公式详解
InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
awesome-papers-fewshot
Collection for Few-shot Learning
github_interest
interest repositories
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
maml-cnn-text-classifier
Model-agnostic meta-learning framework adapted to CNN text classifier
awesome-few-shot-meta-learning
awesome few shot / meta learning papers
meta-learning
meta-learning research
Awesome-pytorch-list-CNVersion
Awesome-pytorch-list 翻译工作进行中......
MMAML-Classification
An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim
meta-learning-lstm-pytorch
pytorch implementation of Optimization as a Model for Few-shot Learning
Meta-learning
Meta-learning for medical image recognition using Deep Learning techniques
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06