The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 15 tensorflow-example Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Ar-Object-Detection
I built this app using Mlkit along with the TensorFlow Lite model for object detection, Arcore is used to place anchors to the detected objects. It's a good blend of Machine learning and Augmented reality to visualise ML information in a much better way than regular bounding boxes
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pocket-automl-android-tutorial
Pocket AutoML: Tutorial for Creating an Android App for Image Classification with Deep Learning
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
Project mention: Building an AI Game Bot 🤖Using Imitation Learning and 3D Convolution ResNet | dev.to | 2024-01-02def compute_mean_std(dataloader): ''' We assume that the images of the dataloader have the same height and width source: https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/Basics/pytorch_std_mean.py ''' # var[X] = E[X**2] - E[X]**2 channels_sum, channels_sqrd_sum, num_batches = 0, 0, 0 for batch_images, labels in tqdm(dataloader): # (B,H,W,C) batch_images = batch_images.permute(0,3,4,2,1) channels_sum += torch.mean(batch_images, dim=[0, 1, 2, 3]) channels_sqrd_sum += torch.mean(batch_images ** 2, dim=[0, 1, 2,3]) num_batches += 1 mean = channels_sum / num_batches std = (channels_sqrd_sum / num_batches - mean ** 2) ** 0.5 return mean, std compute_mean_std(dataloader)
Project mention: C# and ML . NET seems a little too good to be true - what's the catch? | /r/csharp | 2023-04-27How about SciSharp? Examples: https://github.com/SciSharp/SciSharp-Stack-Examples
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source tensorflow-example projects? This list will help you:
Project | Stars | |
---|---|---|
1 | examples | 7,742 |
2 | Machine-Learning-Collection | 6,936 |
3 | docs | 6,024 |
4 | yolov3-tf2 | 2,508 |
5 | cppflow | 759 |
6 | tensorflow_chessbot | 497 |
7 | mango | 310 |
8 | SciSharp-Stack-Examples | 309 |
9 | Manji | 147 |
10 | Gradient-Samples | 61 |
11 | Ar-Object-Detection | 30 |
12 | pocket-automl-android-tutorial | 21 |
13 | EKG | 17 |
14 | TensorFlow_Lite_Classification_RPi_zero | 7 |
15 | qt-tf-lite-example | 3 |
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