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Top 23 Jupyter Notebook Transformer Projects
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generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
Project mention: Top Courses and GitHub Repositories to Learn GenerativeAI Free | dev.to | 2024-08-17โ Generative AI for Beginners by Microsoft
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SaaSHub
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Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
Most of this tutorial is based on Hugging Face course about Transformers and on Niels Rogge's Transformers tutorials: make sure to check their work and give them a star on GitHub, if you please โค๏ธ
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pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Promptify
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
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hands-on-llms
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
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transformers-interpret
Model explainability that works seamlessly with ๐ค transformers. Explain your transformers model in just 2 lines of code.
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Project mention: Moirai: A Time Series Foundation Model for Universal Forecasting | news.ycombinator.com | 2024-03-25
Code is available! https://github.com/SalesforceAIResearch/uni2ts
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Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
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diffusers-interpret
Diffusers-Interpret ๐ค๐งจ๐ต๏ธโโ๏ธ: Model explainability for ๐ค Diffusers. Get explanations for your generated images.
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language-planner
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
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REaLTabFormer
A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
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Jupyter Notebook Transformers discussion
Jupyter Notebook Transformers related posts
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OpenChat 3.2 SUPER is Here!
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Refact LLM: New 1.6B code model reaches 32% HumanEval and is SOTA for the size
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OpenChat: Advancing Open-Source Language Models with Imperfect Data
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Creating a new Finetuned model
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Is this claim meaningful? https://news.ycombinator.com/item?id=36555000
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Bard is getting better at logic and reasoning
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How to annotate compound words to build NER models?
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A note from our sponsor - SaaSHub
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Index
What are some of the best open-source Transformer projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | generative-ai-for-beginners | 65,496 |
2 | Transformers-Tutorials | 9,592 |
3 | pytorch-sentiment-analysis | 4,409 |
4 | Promptify | 3,316 |
5 | hands-on-llms | 3,135 |
6 | adapters | 2,597 |
7 | ZoeDepth | 2,369 |
8 | mup | 1,408 |
9 | transformers-interpret | 1,296 |
10 | uni2ts | 922 |
11 | Transformer-MM-Explainability | 802 |
12 | course-content-dl | 754 |
13 | gpt2bot | 430 |
14 | optimum-intel | 416 |
15 | MachineLearning-QandAI-book | 349 |
16 | browser-ml-inference | 306 |
17 | diffusers-interpret | 268 |
18 | language-planner | 257 |
19 | ocrpy | 222 |
20 | REaLTabFormer | 212 |
21 | mgpt | 202 |
22 | HugsVision | 195 |
23 | clip-italian | 180 |