Awesome Treasure of Transformers Models Collection

Overview

Awesome Treasure of Transformers Models Collection

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🧑‍💻 👩‍💻 Collection of All NLP Deep learning algorithm list with Code 🧑‍💻 👩‍💻 Jupyter Notebook


Sr No Algorithm Name Year Blog Video Official Repo Code
1 GPT-Neo 2000 Youtube Open In Colab
2 Transformer 2017 Youtube Open In Colab
3 BERT 2018 Youtube Open In Colab
4 GPT 2018 Youtube Open In Colab
5 Universal Transformer 2018 Youtube Open In Colab
6 T-D 2018 Youtube Open In Colab
7 GPT-2 2019 Youtube Open In Colab
8 T5 2019 Youtube Open In Colab
9 BART 2019 Youtube Open In Colab
10 XLNet 2019 Youtube Open In Colab
11 ALBERT 2019 Youtube Open In Colab
12 Distil-BERT 2019 Youtube Open In Colab
13 Transformer-XL 2019 Youtube Open In Colab
14 XLM 2019 Youtube Open In Colab
15 ViLBERT 2019 Youtube Open In Colab
16 Sparse Transformer 2019 Youtube Open In Colab
17 Levenshtein Transformer 2019 Youtube Open In Colab
18 CTRL 2019 Youtube Open In Colab
19 VideoBERT 2019 Youtube Open In Colab
20 Compressive Transformer 2019 Youtube Open In Colab
21 CuBERT 2019 Youtube Open In Colab
22 BP-Transformer 2019 Youtube Open In Colab
23 Adaptively Sparse Transformer 2019 Youtube Open In Colab
24 Sandwich Transformer 2019 Youtube Open In Colab
25 FSMT 2019 Youtube Open In Colab
26 LXMERT 2019 Youtube Open In Colab
27 VisualBERT 2019 Youtube Open In Colab
28 GPT-3 2020 Youtube Open In Colab
29 ELECTRA 2020 Youtube Open In Colab
30 Electric 2020 Youtube Open In Colab
31 LongFormer 2020 Youtube Open In Colab
32 mBART 2020 Youtube Open In Colab
33 Performer 2020 Youtube Open In Colab
34 ETC 2020 Youtube Open In Colab
35 CodeBERT 2020 Youtube Open In Colab
36 mT5 2020 Youtube Open In Colab
37 Reformer 2020 Youtube Open In Colab
38 DeBERTa & DeBERTa-v2 2020 Youtube Open In Colab
39 Linformer 2020 Youtube Open In Colab
40 RAG 2020 Youtube Open In Colab
41 ProphetNet 2020 Youtube Open In Colab
42 BigBird 2020 Youtube Open In Colab
43 PLATO-2 2020 Youtube Open In Colab
44 Routing Transformer 2020 Youtube Open In Colab
45 DeeBERT 2020 Youtube Open In Colab
46 DynaBERT 2020 Youtube Open In Colab
47 TernaryBERT 2020 Youtube Open In Colab
48 MobileBERT 2020 Youtube Open In Colab
49 Bort 2020 Youtube Open In Colab
50 DeLighT 2020 Youtube Open In Colab
51 PAR Transformer 2020 Youtube Open In Colab
52 ConvBERT 2020 Youtube Open In Colab
53 IB-BERT 2020 Youtube Open In Colab
54 MacBERT 2020 Youtube Open In Colab
55 RealFormer 2020 Youtube Open In Colab
56 Sinkhorn Transformer 2020 Youtube Open In Colab
57 SongNet 2020 Youtube Open In Colab
58 Funnel Transformer 2020 Youtube Open In Colab
59 SC-GPT 2020 Youtube Open In Colab
60 SMITH 2020 Youtube Open In Colab
61 BinaryBERT 2020 Youtube Open In Colab
62 SqueezeBERT 2020 Youtube Open In Colab
63 Feedback Transformer 2020 Youtube Open In Colab
64 CamemBERT 2020 Youtube Open In Colab
65 CPM 2020 Youtube Open In Colab
66 DialoGPT 2020 Youtube Open In Colab
67 DPR 2020 Youtube Open In Colab
68 FlauBERT 2020 Youtube Open In Colab
69 HerBERT 2020 Youtube Open In Colab
70 LayoutLM 2020 Youtube Open In Colab
71 LED 2020 Youtube Open In Colab
72 LUKE 2020 Youtube Open In Colab
73 M2M100 2020 Youtube Open In Colab
74 MBart and MBart-50 2020 Youtube Open In Colab
75 MegatronBERT 2020 Youtube Open In Colab
76 MegatronGPT2 2020 Youtube Open In Colab
77 MPNet 2020 Youtube Open In Colab
78 Pegasus 2020 Youtube Open In Colab
79 PhoBERT 2020 Youtube Open In Colab
80 QDQBERT 2020 Youtube Open In Colab
81 RemBERT 2020 Youtube Open In Colab
82 RetriBERT 2020 Youtube Open In Colab
83 Speech2Text 2020 Youtube Open In Colab
84 T5v1.1 2020 Youtube Open In Colab
85 TAPAS 2020 Youtube Open In Colab
86 Wav2Vec2 2020 Youtube Open In Colab
87 XLM-ProphetNet 2020 Youtube Open In Colab
88 XLM-RoBERTa 2020 Youtube Open In Colab
89 XLSR-Wav2Vec2 2020 Youtube Open In Colab
90 Switch Transformer 2021 Youtube Open In Colab
91 TNT 2021 Youtube Open In Colab
92 Adaptive Span Transformer 2021 Youtube Open In Colab
93 Primer 2021 Youtube Open In Colab
94 Charformer 2021 Youtube Open In Colab
95 MATE 2021 Youtube Open In Colab
96 Nystromformer 2021 Youtube Open In Colab
97 Subformer 2021 Youtube Open In Colab
98 ESACL 2021 Youtube Open In Colab
99 PermuteFormer 2021 Youtube Open In Colab
100 NormFormer 2021 Youtube Open In Colab
101 Fastformer 2021 Youtube Open In Colab
102 AutoTinyBERT 2021 Youtube Open In Colab
103 EGT 2021 Youtube Open In Colab
104 Chinese Pre-trained Unbalanced Transformer 2021 Youtube Open In Colab
105 GANFormer 2021 Youtube Open In Colab
106 ClipBERT 2021 Youtube Open In Colab
107 CodeT5 2021 Youtube Open In Colab
108 I-BERT 2021 Youtube Open In Colab
109 ByT5 2021 Youtube Open In Colab
110 CANINE 2021 Youtube Open In Colab
111 FNet 2021 Youtube Open In Colab
112 LayoutLMV2 2021 Youtube Open In Colab
113 LayoutXLM 2021 Youtube Open In Colab
114 GPT-J 2021 Youtube Open In Colab
115 Hubert 2021 Youtube Open In Colab
116 Perceiver 2021 Youtube Open In Colab
117 RoFormer 2021 Youtube Open In Colab
118 SegFormer 2021 Youtube Open In Colab
119 SEW 2021 Youtube Open In Colab
120 SEW-D 2021 Youtube Open In Colab
121 Speech2Text2 2021 Youtube Open In Colab
122 Splinter 2021 Youtube Open In Colab
123 TrOCR 2021 Youtube Open In Colab
124 UniSpeech 2021 Youtube Open In Colab
125 UniSpeech-SAT 2021 Youtube Open In Colab
126 MarianMT - Open In Colab

Instruction

  • All blogs have links and some links contains different language blog such as Chinese, Korean etc. for this Please use Google Tranlater Page Convert.

How to Contribute


if you want to contribute on this project please send us email: [email protected] .

🙏 🙏 Special Thanks to Komal Lamba for contributing.


Copyright for source code belongs to the original author(s). However, under fair use you are encouraged to fork and contribute minor corrections and updates for the benefit of the reader(s).


Thanks for Reading ...!!!


Owner
Ashish Patel
AI Researcher & Senior Data Scientist at Softweb Solutions Avnet Solutions(Fortune 500) | Rank 3 Kaggle Kernel Master
Ashish Patel
Multilingual Emotion classification using BERT (fine-tuning). Published at the WASSA workshop (ACL2022).

XLM-EMO: Multilingual Emotion Prediction in Social Media Text Abstract Detecting emotion in text allows social and computational scientists to study h

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In this Notebook I've build some machine-learning and deep-learning to classify corona virus tweets, in both multi class classification and binary classification.

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Khaled Tofailieh 3 Dec 06, 2022
This simple Python program calculates a love score based on your and your crush's full names in English

This simple Python program calculates a love score based on your and your crush's full names in English. There is no logic or reason in the calculation behind the love score. The calculation could ha

p.katekomol 1 Jan 24, 2022
Code for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

This repo provides the code of the following papers: (GAR) "Generation-Augmented Retrieval for Open-domain Question Answering", ACL 2021 (RIDER) "Read

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A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

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An open source library for deep learning end-to-end dialog systems and chatbots.

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Implementation of Deep-Forecast using PyTorch Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting Adapted from original implementation Setu

Onur Kaplan 151 Dec 14, 2022
[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

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An ActivityWatch watcher to pose questions to the user and record her answers.

aw-watcher-ask An ActivityWatch watcher to pose questions to the user and record her answers. This watcher uses Zenity to present dialog boxes to the

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NLP Text Classification

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Jason 1 Nov 11, 2021
Sequence model architectures from scratch in PyTorch

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Sequence-to-Sequence Framework in PyTorch

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LIUM 395 Nov 21, 2022
pyupbit 라이브러리를 활용하여 upbit에서 비트코인을 자동매매하는 코드입니다. 조코딩 유튜브 채널에서 자세한 강의 영상을 보실 수 있습니다.

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p-tuning for few-shot NLU task

p-tuning_NLU Overview 这个小项目是受乐于分享的苏剑林大佬这篇p-tuning 文章启发,也实现了个使用P-tuning进行NLU分类的任务, 思路是一样的,prompt实现方式有不同,这里是将[unused*]的embeddings参数抽取出用于初始化prompt_embed后

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DiY Oxygen Concentrator based on the OxiKit

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