lgcming's repositories

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表,单个文件包含一切你需要知道的东西 :zap:

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bottom-up-attention-vqa

vqa, bottom-up-attention, pytorch

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VQA2.0-Recent-Approachs-2018.pytorch

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0

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abcd

wizardlm

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Awesome-Chinese-NLP

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

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Chinese-CLIP

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

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DPAC-DialogueGAN

This repo implements GAN-based models for Dialogue Generation (DP-GAN, SeqGAN, and our own proposed DPAC-GAN)

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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Interview-Notebook

:books: 技术面试需要掌握的基础知识,持续更新中~

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Listen-Attend-and-Spell-Pytorch

Listen Attend and Spell (LAS) implement in pytorch

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NLPCC2016KBQA

KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.

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nmn-pytorch

Neural Module Network for VQA in Pytorch

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nmtpytorch

Neural Machine Translation Framework in PyTorch

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python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

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PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

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pytorch-transformer

pytorch implementation of Attention is all you need

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pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

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seq2seq-couplet

Play couplet with seq2seq model. 用深度学习对对联。

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seq2seq_chatbot

基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs

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simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN with competitive performance

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time-domain-neural-audio-style-transfer

NIPS2017 "Time Domain Neural Audio Style Transfer" code repository

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torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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UniLM_Chinese_DEMO

本项目使用云问科技训练的中文版UniLM模型对微博数据集进行自动标题生成。

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