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