baojiazhong Goto Github PK

gopl.io

Example programs from "The Go Programming Language"

gr-txid

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hands-on-meta-learning-with-python-1

Hands-On Meta Learning with Python

hands-on-rl

https://hrl.boyuai.com/

hands-on-rl-md

学习笔记

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

hello-world

a test of the use of the github

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

imgaug

Image augmentation for machine learning experiments.

k8sdefinitiveguide-v5-corrigendum

《Kubernetes - The Definitive Guide》 5th Edition Corrigendum

k8sdefinitiveguide-v5-sourcecode

《Kubernetes - The Definitive Guide》 5th Edition Source Code

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

kitex-examples

Examples for Kitex.

lab_citation

organize bib items for our lab

learn-pytorch-and-become-a-data-scientist

《学好Pytorch成为数据科学家》书籍随书代码

learn2learn

A PyTorch Library for Meta-learning Research

learning-to-learn-by-gradient-descent-by-gradient-descent

Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"

learning_by_grad_by_grad_repro

Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"

learningtocompare-tensorflow

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

leetcode_101

LeetCode 101：和你一起你轻松刷题（C++）

lora_rffi

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

matching-networks-pytorch

Matching Networks for one shot learning

matchingnetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

meta-learning-lstm-pytorch

pytorch implementation of Optimization as a Model for Few-shot Learning

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

ml2021-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring

mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）