hx-idiot Goto Github PK

ai-deadlines

:alarm_clock: AI conference deadline countdowns

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

bert4keras

keras implement of transformers for humans

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

cs543_hw

CS 543, Computer Vision Homework

deepie

DeepIE: Deep Learning for Information Extraction

deeplearning-models

A collection of various deep learning architectures, models, and tips

demo_tst

123

docker-tutorial

🐳Docker入门学习笔记

dynamic-few-shot-visual-learning-without-forgetting

pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

elegantbook

ElegantBook: An Elegant LaTeX Template for Books

fada-pytorch

pytorch implement for the paper Few-Shot Adversarial Domain Adaptation

few-shot-gnn

fewshotwithoutforgetting

git_tst

gitignore

A collection of useful .gitignore templates

gpt2-chinese

Chinese version of GPT2 training code, using BERT tokenizer.

hybrid_attention_xml

Pytorch codes for "Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification"

lacrl

leam

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

long-tailed-recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

matchingnetworkfor-few-shot

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-papers

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