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Top 23 Jupyter Notebook deep-neural-network Projects
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Deci's YOLO-NAS Pose: Redefining Pose Estimation! Elevating healthcare, sports, tech, and robotics with precision and speed. Github link and blog link down below! Repo: https://github.com/spmallick/learnopencv/tree/master/YOLO-NAS-Pose
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InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Project mention: Infini-Gram: Scaling unbounded n-gram language models to a trillion tokens | news.ycombinator.com | 2024-05-05 -
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tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course. (by mrdbourke)
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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.
Project mention: Show HN: I am using AI to drop hats outside my window onto New Yorkers | news.ycombinator.com | 2024-06-23FWIW you can use roboflow models on-device as well. detect.roboflow.com is just a hosted version of our inference server (if you run the docker somewhere you can swap out that URL for localhost or wherever your self-hosted one is running). Behind the scenes it’s an http interface for our inference[1] Python package which you can run natively if your app is in Python as well.
Pi inference is pretty slow (probably ~1 fps without an accelerator). Usually folks are using CUDA acceleration with a Jetson for these types of projects if they want to run faster locally.
Some benefits are that there are over 100k pre-trained models others have already published to Roboflow Universe[2] you can start from, supports many of the latest SOTA models (with an extensive library[3] of custom training notebooks), and tight integration with the dataset/annotation tools that are at the core of Roboflow for creating custom models, and good support for common downstream tasks via supervision[4].
[1] https://github.com/roboflow/inference
[2] https://universe.roboflow.com
[3] https://github.com/roboflow/notebooks
[4] https://github.com/roboflow/supervision
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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For a long time, the state-of-the-art models for monocular depth estimation such as DORN and DenseDepth were built with convolutional neural networks. Recently, however, both transformer-based models such as DPT and GLPN, and diffusion-based models like Marigold have achieved remarkable results!
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saliency
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
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stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
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conformal_classification
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
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100DaysOfML
100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
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Deep_XF
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
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deepfake-detection
DeepFake Detection: Detect the video is fake or not using InceptionResNetV2. (by xinyooo)
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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-neural-networks discussion
Jupyter Notebook deep-neural-networks related posts
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Machine Learning and AI Beyond the Basics Book
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Looking for contributors to an AI security project
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[P] Plexiglass: a toolbox for testing against adversarial attacks in DNNs and LLMs.
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YOLO-NAS Pose
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Bidirectional Encoder Representations from Transformers
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Diving deeper into KerasCV!
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write a program to convert RGB to HSV and LAB color space.
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A note from our sponsor - InfluxDB
www.influxdata.com | 9 Sep 2024
Index
What are some of the best open-source deep-neural-network projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | learnopencv | 20,991 |
| 2 | lama | 7,785 |
| 3 | vosk-api | 7,688 |
| 4 | docs | 6,106 |
| 5 | tensorflow-deep-learning | 5,137 |
| 6 | notebooks | 5,066 |
| 7 | Andrew-NG-Notes | 2,499 |
| 8 | dl-colab-notebooks | 1,712 |
| 9 | DenseDepth | 1,575 |
| 10 | saliency | 950 |
| 11 | stylegan-encoder | 741 |
| 12 | stock-prediction-deep-neural-learning | 486 |
| 13 | sports | 471 |
| 14 | fsdl-text-recognizer-2022-labs | 446 |
| 15 | glasses | 429 |
| 16 | Deej-AI | 326 |
| 17 | MachineLearning-QandAI-book | 304 |
| 18 | conformal_classification | 218 |
| 19 | 100DaysOfML | 130 |
| 20 | Deep_XF | 112 |
| 21 | GTSRB | 111 |
| 22 | deepfake-detection | 92 |
| 23 | kaggle-courses | 49 |
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InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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