gyzhang123

gyzhang123

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MONet-pytorch

Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"

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viper

Open-source code for VIPER -- Volume Invariant Position-based Elastic Rods

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AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

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unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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revnet-public

Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

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rnnt-speech-recognition

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

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pycallgraph

pycallgraph is a Python module that creates call graphs for Python programs.

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code2flow

Pretty good call graphs for dynamic languages

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mathematics_dataset

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

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sonic

Simple library to speed up or slow down speech

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LaTeX_OCR

:gem: 数学公式识别 Math Formula OCR

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videocr

Extract hardcoded subtitles from videos using machine learning

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temporal-binding-network

Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch

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awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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PPLM

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

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c3

Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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visualbert

Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

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deep-regex

Code for the paper Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge (EMNLP 2016). http://arxiv.org/abs/1608.03000

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ChineseNLPCorpus

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

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spv2

Science-parse version 2

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CLUE

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

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ChineseGLUE

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

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cmrc2018

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

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albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

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ALBERT_4_Time_Recognition

使用ALBERT预训练模型,用于识别文本中的时间,同时验证模型的预测耗时是否有显著提升。

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