Moxinli

Moxinli's Stars

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.7k9.1k

• nushackers/notes-to-cs-freshmen-from-the-future

  Notes to (NUS) Computer Science Freshmen, From The Future (Original by @ejamesc)

  1.4k157

• 0voice/campus_recruitmen_questions

  2021年最新整理，5000道秋招/提前批/春招/常用面试题（含答案），包括leetcode，校招笔试题，面试题，算法题，语法题。

  2.6k515

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k442

• causaltext/causal-text-papers

  Curated research at the intersection of causal inference and natural language processing.

  77696

• Kyubyong/transformer

  A TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python4.3k1.3k

• Wuziyi616/Graduate_Application

  Documents used for grad school application

  28320

• AMAI-GmbH/AI-Expert-Roadmap

  Roadmap to becoming an Artificial Intelligence Expert in 2022

  Language:JavaScript29.1k2.5k

• llamazing/numnet_plus

  This is the official code repository for NumNet+(https://leaderboard.allenai.org/drop/submission/blu418v76glsbnh1qvd0)

  Language:Python17951

• m3yrin/naqanet_notebook

  Testing NAQANet

  Language:Jupyter Notebook41

• facebookresearch/TaBERT

  This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

  Language:Python58264

• google-research/tapas

  End-to-end neural table-text understanding models.

  Language:Python1.1k218

• ag1988/injecting_numeracy

  The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2020).

  Language:Python8810

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.7k3.3k

• nyu-dl/dl4ir-doc2query

  Language:Python16015

• nyu-dl/dl4marco-bert

  Language:Python47588

• ymcui/Chinese-BERT-wwm

  Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

  Language:Python9.6k1.4k

• stanford-futuredata/ColBERT

  ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

  Language:Python3k379

• jingtaozhan/RepBERT-Index

  RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.

  Language:Python669

• ricsinaruto/dialog-eval

  Evaluate your dialog model with 17 metrics! (see paper)

  Language:Python9619

• hfef7ui2/final_year_project_kgCVAE

  Language:Python2