A Japanese (Riichi) Mahjong AI Framework

A curated list of resources about Machine Learning for Robotics

[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

Implement many Sparse Reward algorithms in Gym Fetch environment

Awesome list for Neural Network Optimization methods.

Curriculum Learning related papers and materials

Curriculum Learning - Tensorflow

Code for Automatic Curriculum Learning through Value Disagreement

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

Code for the paper "Curriculum Dropout", ICCV 2017

WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

The codebase for "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation" (Cai et al., AAAI 2020)

reimplementing Neural Summarization by Extracting Sentences and Words

Hadwritten Text Recognition in Few-shot Scenario

Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).

Uma lista com curadoria de cursos gratuitos de universidades conceituadas que atendem aos requisitos de um currículo de graduação em Ciência de Dados, menos educação geral. Com projetos, materiais de apoio em uma estrutura organizada.

Distilling Knowledge via Intermediate Classifiers

An efficient curriculum learning-based strategy for molecular graph learning