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Discover 528 open source projects
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tensorlayer/SRGAN
A photo-realistic single image super-resolution using a generative adversarial network (SRGAN) library.
JiahuiYu/generative_inpainting
An image inpainting model using deep neural networks and attention mechanisms, useful for vibe coders working on AI-powered applications.
tensorflow/adanet
A flexible AutoML framework with learning guarantees for building high-performance AI models.
eragonruan/text-detection-ctpn
A text detection library using the CTPN model, supporting ID card detection and robust reading.
minimaxir/gpt-2-simple
A Python package to easily retrain OpenAI's GPT-2 text-generation model on new texts.
SciSharp/TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
autorope/donkeycar
Open source platform to build a small-scale self-driving car using computer vision and AI.
krishnakumarsekar/awesome-quantum-machine-learning
A curated list of resources and projects related to quantum machine learning, algorithms, and frameworks.
ysh329/deep-learning-model-convertor
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
determined-ai/determined
Determined is an open-source machine learning platform for distributed training, hyperparameter tuning, and resource management.
kerlomz/captcha_trainer
This open-source Python library is a training platform for building deep learning models to recognize captchas.
tensorflow/skflow
A simplified interface for TensorFlow that mimics Scikit Learn for building deep learning models.
migueldeicaza/TensorFlowSharp
TensorFlow API for .NET languages, enabling .NET developers to build machine learning models.
deepdoctection/deepdoctection
A Python library for document AI tasks like layout analysis, table detection, and text extraction.
google-deepmind/trfl
TensorFlow Reinforcement Learning library for developing AI agents and models.
cysmith/neural-style-tf
A TensorFlow-based implementation of Neural Style, a technique for applying the style of one image to the content of another.
CharlesShang/FastMaskRCNN
A TensorFlow-based implementation of Mask R-CNN, a popular deep learning object detection and instance segmentation model.
raghakot/keras-vis
A neural network visualization toolkit for the Keras deep learning framework.
tensorflow/agents
A scalable and easy-to-use TensorFlow library for Contextual Bandits and Reinforcement Learning.
keithito/tacotron
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model
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