Top 50 Trending Jupyter Notebook Projects
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generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
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amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
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autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
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langkit
๐ LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). ๐ Extracts signals from prompts & responses, ensuring safety & security. ๐ก๏ธ Features include text quality, relevance metrics, & sentiment analysis. ๐ A comprehensive tool for LLM observability. ๐
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super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
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alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
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Medusa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads (by FasterDecoding)
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mujoco_menagerie
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
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pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
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vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
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graph-notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
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llama-hub
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
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FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize ๐ฅ We release the trained model on HuggingFace.
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notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. (by roboflow)
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phoenix
AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook. (by Arize-ai)
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rq-vae-transformer
The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)
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BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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nn
๐งโ๐ซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
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CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Index
What are some of the trending open-source Jupyter Notebook projects? This list will help you:
Project | Growth | |
---|---|---|
1 | generative-ai-for-beginners | 99.2% |
2 | notebooks | 40.6% |
3 | ragas | 30.5% |
4 | ml-course | 28.5% |
5 | amazon-bedrock-workshop | 27.4% |
6 | AI-For-Beginners | 22.0% |
7 | nixtla | 21.3% |
8 | trulens | 19.9% |
9 | llm-applications | 17.2% |
10 | sqlcoder | 16.9% |
11 | HEBO | 15.0% |
12 | llama-recipes | 14.9% |
13 | autogen | 14.9% |
14 | EasyEdit | 12.6% |
15 | langkit | 11.0% |
16 | super-gradients | 10.8% |
17 | mediapipe | 10.0% |
18 | alpaca_eval | 9.8% |
19 | adapters | 8.2% |
20 | Medusa | 8.1% |
21 | fsrs4anki | 7.8% |
22 | lm-hackers | 7.8% |
23 | practical-mlops-book | 7.7% |
24 | mujoco_menagerie | 7.0% |
25 | big_vision | 6.8% |
26 | lida | 6.6% |
27 | pyannote-audio | 6.3% |
28 | geomstats | 6.3% |
29 | vertex-ai-samples | 6.2% |
30 | graph-notebook | 6.1% |
31 | MAPIE | 6.1% |
32 | llama-hub | 6.0% |
33 | openvino_notebooks | 5.8% |
34 | FinGPT | 5.8% |
35 | ZoeDepth | 5.7% |
36 | FinNLP | 5.6% |
37 | Entity | 5.5% |
38 | open_clip | 5.4% |
39 | notebooks | 5.2% |
40 | phoenix | 5.1% |
41 | rq-vae-transformer | 5.0% |
42 | blog | 4.9% |
43 | FinRL-Tutorials | 4.8% |
44 | course22 | 4.7% |
45 | BLIP | 4.5% |
46 | examples | 4.5% |
47 | nn | 4.4% |
48 | daam | 4.4% |
49 | LAVIS | 4.4% |
50 | CLIP | 4.1% |