tianxiexiaozhu77

tianxiexiaozhu77's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python54.5k4511325.6k

• lib-pku/libpku

  贵校课程资料民间整理

  Language:TeX30.4k1.2k418.3k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.3k2201564.1k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.5k555994.8k

• chenyuntc/pytorch-book

  PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

  Language:Jupyter Notebook12.1k2812183.7k

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.3k104811.9k

• facebookresearch/ParlAI

  A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

  Language:Python10.5k2831.5k2.1k

• ccfddl/ccf-deadlines

  ⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

  Language:Vue6k2278422

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook3.8k601001.2k

• wangshusen/DeepLearning

  Language:TeX3.7k6518822

• MLNLP-World/DeepLearning-MuLi-Notes

  Notes about courses Dive into Deep Learning by Mu Li

  Language:Jupyter Notebook3.4k383545

• CannyLab/tsne-cuda

  GPU Accelerated t-SNE for CUDA with Python bindings

  Language:Cuda1.8k29127127

• PaddlePaddle/Research

  novel deep learning research works with PaddlePaddle

  Language:Python1.7k48150793

• pavlin-policar/openTSNE

  Extensible, parallel implementations of t-SNE

  Language:Python1.5k22136160

• uber-research/PPLM

  Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

  Language:Python1.1k2841202

• xmu-xiaoma666/FightingCV-Paper-Reading

  ⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀

  Language:Shell79415089

• nlpjoe/Coding4Interviews

  Leetcode、剑指Offer——名企面试官精讲典型编程题

  Language:Python691171212

• yxuansu/SimCTG

  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

  Language:Python46392640

• awslabs/pptod

  Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

  Language:Python15781827

• wzh9969/contrastive-htc

  This repository implements a contrastive learning model for hierarchical text classification. This work has been accepted as the long paper "Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification" in ACL 2022.

  Language:Python12823230

• fromann/heart

  点燃我温暖你李洵同款爱心代码，爱心跳动代码，爱心代码

  Language:HTML671274

• li3cmz/GRADE

  GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems

  Language:Python57269

• MiuLab/SalesBot

  Transitioning from Open-Domain Chit-Chat to Task-Oriented Dialogues

  Language:Python40207

• FUZHIYI/TACO

  Code for the ACL 2022 paper "Contextual Representation Learning beyond Masked Language Modeling"

  Language:Python33554

• thu-coai/CTRLEval

  Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)

  Language:Python32322

• allenai/tailor

  Language:Python31654

• oja/aosumm

  Summarize a document conditioned on aspect keywords.

  Language:Python18230

• moussaKam/FrugalScore

  FrugalScore is an approach to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance

  Language:Python14221

• GeorgeLuImmortal/RDL-Rationales-centric-Double-robustness-Learning

  Language:Jupyter Notebook11202

• tianxiexiaozhu77/OpenPrompt

  An Open-Source Framework for Prompt-Learning.

  Language:Python1000