RedVelvetCake21

RedVelvetCake21's Stars

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python63.5k1.1k011k

• geekxh/hello-algorithm

  🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站

  Language:Java35.3k658436.5k

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.5k791441.9k

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.9k927461.1k

• km1994/nlp_paper_study

  该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

  Language:C++3.9k718659

• wangshusen/DRL

  Deep Reinforcement Learning

  3.3k4255588

• yuchenlin/rebiber

  A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

  Language:Python2.6k1530158

• swz30/Restormer

  [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

  Language:Python1.8k18101238

• vahidk/EffectivePyTorch

  PyTorch tutorials and best practices.

  1.7k491165

• pavlin-policar/openTSNE

  Extensible, parallel implementations of t-SNE

  Language:Python1.5k22137163

• amusi/PyTorch-From-Zero-To-One

  PyTorch从入门到精通

  868232226

• carrie0307/DL_EventExtractionPapers

  2015年以来基于深度学习方法的事件抽取论文整理

  631203101

• demuxin/pytorch_tricks

  some tircks for PyTorch

  57829288

• ZacBi/CS224n-2019-solutions

  Complete solutions for Stanford CS224n, winter, 2019

  Language:Python54778226

• hotpotqa/hotpot

  Language:Python449134575

• ModelTC/United-Perception

  United Perception

  Language:Python429206665

• thunlp/BMCourse

  The repo for Tsinghua summer course: Interdisciplinary Seminar on Big Models

  Language:Python32421567

• tztztztztz/eqlv2

  The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection. https://arxiv.org/abs/2012.08548 https://arxiv.org/abs/2003.05176

  Language:Python15783023

• tonytan48/KD-DocRE

  Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss

  Language:Python11062519

• google-research/crest

  Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

  Language:Python966714

• linzehui/Curriculum-Learning-PaperList-Materials

  Curriculum Learning related papers and materials

  53709

• tonytan48/Re-DocRED

  Language:Python47244

• rudongyu/LogiRE

  Learning Logic Rules for Document-Level Relation Extraction

  Language:Python455115

• Veronicium/Eider

  Source code for paper "EIDER: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion", ACL Findings, 2022

  Language:Python3921010

• AlanChou/Super-Loss

  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.

  Language:Python31120

• otiliastr/coarse-to-fine-curriculum

  Coarse-to-Fine Curriculum Learning

  Language:Python21423

• yxuansu/HCL

  [ACL'21] Dialogue Response Selection with Hierarchical Curriculum Learning

  Language:Python21412

• Guzpenha/transformers_cl

  Code for the paper "Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking" at ECIR'20

  Language:Python17502

• pkunlp-icler/GAIN

  Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction

  Language:Python15101

• adymaharana/curriculum_learning

  Language:Python9233