zeeroocooll

zeeroocooll's Stars

• google-deepmind/educational

  Language:Jupyter Notebook1.4k186

• XiangLi1999/Diffusion-LM

  Diffusion-LM

  Language:Python1k130

• thunlp/QuoteR

  Official code and data of the ACL 2022 paper "QuoteR: A Benchmark of Quote Recommendation for Writing"

  Language:Python5912

• ylsung/Ladder-Side-Tuning

  PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"

  Language:Python2189

• Pzoom522/xANLG

  Data and code for "Understanding Linearity of Cross-Lingual Word Embedding Mappings" (TMLR 2022)

  Language:Python121

• ZhengyaoJiang/graphbackup

  Code release for Graph Backup: Data Efficient Backup Exploiting Markovian Transitions https://arxiv.org/abs/2205.15824

  Language:Python51

• facebookresearch/contriever

  Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

  Language:Python62358

• snu-mllab/Efficient-Dataset-Condensation

  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

  Language:Python9913

• hsouri/BayesianTransferLearning

  Language:Python10712

• joisino/wordtour

  Code for "Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem" (NAACL 2022)

  Language:Python913

• allenai/dream

  Language:Jupyter Notebook222

• machelreid/paradise

  PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining (NAACL 2022), Machel Reid and Mikel Artetxe

  Language:Python8

• microsoft/UniCL

  [CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"

  Language:Python37128

• microsoft/AMOS

  [ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

  Language:Python241

• kernelmachine/demix-data

  Benchmark API for Multidomain Language Modeling

  Language:Python212

• McGill-NLP/bias-bench

  ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.

  Language:Python10633

• shagunsodhani/papers-I-read

  A-Paper-A-Week

  Language:HTML94480

• google/seqio

  Task-based datasets, preprocessing, and evaluation for sequence models.

  Language:Python53858

• lmthang/nmt.matlab

  Code to train state-of-the-art Neural Machine Translation systems.

  Language:Matlab10550

• salesforce/Converse

  Language:Python12815

• ShuangLI59/Pre-Trained-Language-Models-for-Interactive-Decision-Making

  Pre-Trained Language Models for Interactive Decision-Making [NeurIPS 2022]

  Language:Python1157

• awslabs/sockeye

  Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

  Language:Python1.2k327

• clefourrier/CopperMT

  [ACL 2021, Findings] Cognate Prediction Per Machine Translation

  Language:JavaScript10

• voidism/DiffCSE

  Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

  Language:Python28726

• joisino/private-recsys

  Code for "Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?" (SDM 2022)

  Language:Python476

• facebookresearch/SEAL

  Search Engines with Autoregressive Language models

  Language:Python27224

• ysymyth/ec-nl

  [ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer

  Language:Python295

• phlippe/ENCO

  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"

  Language:Python7615

• qihongl/learn-hippo

  Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife

  Language:Python386

• dpfried/incoder

  Generative model for code infilling and synthesis

  Language:Python29126