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Training a pets detector model with TFOD API (TF 2)
In this notebook, we will be training a custom object detection model using the latest TensorFlow Object Detection (TFOD) API which is based on TensorFlow ...
computer-vision deep-learning object-detection notebook
Universal Sentence Encoder Visually Explained
A deep-dive into how Universal Sentence Encoder learns to generate fixed-length sentence embeddings
sentence-embeddings tensorflow natural-language-processing embeddings
VAE Explorer
A tool that can be used to explore pre-trained tensorflow VAE models and interpolate between data points. Trained on MNIST and Fashion-MNIST.
variational-autoencoders autoencoders tensorflow-js interactive
Torchdata
Equip PyTorch's Dataset with map, cache etc. (like tf.data)
pytorch tensorflow dataset cache
Train ALBERT for NLP with TensorFlow on Amazon SageMaker
To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework.
bert transformers albert natural-language-processing
Data augmentation recipes in tf.keras image-based models
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
image-classification deep-learning data-augmentation computer-vision
Deep Learning for Object Detection: A Comprehensive Review
A closer look at Tensorflow’s object detection models: Faster R-CNN, R-FCN, and SSD.
object-detection convolutional-neural-networks rcnn computer-vision
Silero Models: pre-trained enterprise-grade STT models
Silero Speech-To-Text models provide enterprise grade STT in a compact form-factor for several commonly spoken languages.
speech-recognition pytorch tensorflow onnx
DeepR — Training TensorFlow Models for Production
DeepR is a Python library to build complex pipelines as easily as possible on top of Tensorflow.
production tensorflow pipelines mlflow
Time series forecasting
A thorough introduction to time series forecasting using TensorFlow.
time-series forecasting tensorflow keras
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