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Top 23 Jupyter Notebook Deep Learning Projects
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Tensorflow examples
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Project mention: The Top 9️⃣ Repositories to learn Python programming + Resources (Extra) 🤯 | dev.to | 2024-11-06
⭐️ AI For Beginners on GitHub.
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CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Project mention: We used GPT-4o for image detection with 350 similar illustrations | news.ycombinator.com | 2025-01-14Yes, you could implement image similarity search using embeddings: Create embeddings for the entire image set, save the embeddings in a database, and add embeddings incrementally as new images come in. To search for a similar image, create the embedding for the image that you are looking for and compute the cosine similarity between that embedding and the embeddings in your database. The closer the cosine similarity is to 1.0 the more similar the images.
For choosing a model, the article mentions the AWS Titan multimodal model, but you’d have to pay for API access to create the embeddings. Alternatively, self-hosting the CLIP model [0] to create embeddings would avoid API costs.
Follow-up question: Would the embeddings from the llama3.2-vision models be of higher quality (contain more information) than the original CLIP model?
The llama vision models use CLIP under the hood, but they add a projection head to align with the text model and the CLIP weights are mutated during alignment training, so I assume the llama vision embeddings would be of higher quality, but I don’t know for sure. Does anybody know?
(I would love to test this quality myself but Ollama does not yet support creating image embeddings from the llama vision models - a feature request with several upvotes has been opened [1].)
[0] https://github.com/openai/CLIP
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Project mention: Integrate Hugging Face Spaces & Gradio with a React application | dev.to | 2024-10-12
We are going to use fast.ai to create a simple classification which predicts whether a given image is a cat or not.
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1️⃣1️⃣ Practical Machine Learning 📈 📌 https://github.com/ageron/handson-ml Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow.
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Project mention: IA Explicable: Algoritmos y Métodos para Interpretar Modelos de Caja Negra | dev.to | 2024-06-19
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
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DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) (by mozilla)
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vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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curl https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-8.onnx -Lso squeezenet1.0-8.onnx
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notebooks
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
Project mention: Roboflow Notebooks: 60+ computer vision modeling notebooks | news.ycombinator.com | 2024-10-22 -
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook Deep Learning discussion
Jupyter Notebook Deep Learning related posts
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A straight line teaches machines to learn
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Ask HN: Freelancer? Seeking freelancer? (May 2025)
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H2O: Your New Best Friend for Scalable Machine Learning
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How AI is Transforming Front-End Development in 2025!
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Lovely Tensors: Tensors, for human consumption
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MIT IAP open education courses on diffusion and data-centric AI
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How I Ace Midterms at a Top CS School by Studying 1-3 Hours (and Skipping Class)
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A note from our sponsor - InfluxDB
www.influxdata.com | 13 May 2025
Index
What are some of the best open-source Deep Learning projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | TensorFlow-Examples | 43,617 |
| 2 | Made-With-ML | 38,526 |
| 3 | AI-For-Beginners | 37,414 |
| 4 | CLIP | 28,897 |
| 5 | fastai | 26,930 |
| 6 | handson-ml | 25,329 |
| 7 | shap | 23,847 |
| 8 | fastbook | 23,047 |
| 9 | learnopencv | 21,902 |
| 10 | stable-diffusion-webui-colab | 15,837 |
| 11 | first-order-model | 14,817 |
| 12 | machine-learning-for-trading | 14,806 |
| 13 | DeepLearningExamples | 14,220 |
| 14 | LAVIS | 10,532 |
| 15 | amazon-sagemaker-examples | 10,490 |
| 16 | numerical-linear-algebra | 10,465 |
| 17 | TTS | 9,819 |
| 18 | vosk-api | 9,455 |
| 19 | TensorFlow-Tutorials | 9,278 |
| 20 | lama | 8,758 |
| 21 | models | 8,505 |
| 22 | introtodeeplearning | 7,813 |
| 23 | notebooks | 7,677 |
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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com