TillBeemelmanns / tfops-augLinks
TFOps-Aug: Implementation of policy-based image augmentation techniques based on TF2 Operations. All augmentations as efficient Tensorflow 2.11.0 operations. Easy integration into a tf.data API pipeline.
☆14Updated 2 years ago
Alternatives and similar repositories for tfops-aug
Users that are interested in tfops-aug are comparing it to the libraries listed below
Sorting:
- A practical example of Tensorflow C API based deployment starting from a model trained with Tensorflow + Keras☆82Updated 6 years ago
- ☆11Updated 5 years ago
- A multibranch neural net architecture. (PyTorch)☆89Updated 5 years ago
- Scailable ONNX python tools☆97Updated 11 months ago
- a mini Deep Learning framework supporting GPU accelerations written with CUDA☆32Updated 4 years ago
- Mish Activation Function for PyTorch☆148Updated 4 years ago
- Mish Activation Function for PyTorch☆51Updated 4 years ago
- A simplified implementation of RetinaNet from https://arxiv.org/pdf/1708.02002.pdf using TF2.0☆13Updated 5 years ago
- Custom implementation of EfficientDet https://arxiv.org/abs/1911.09070☆97Updated 2 years ago
- ☆52Updated 4 years ago
- Converting the ONNX model representation to the TensorFlow Lite representation.☆34Updated 4 years ago
- How to convert trained Keras model to a single TensorFlow .pb file and make prediction☆59Updated 6 years ago
- Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC☆81Updated 6 years ago
- Pruning and other network surgery for trained TF.Keras models.☆32Updated 5 years ago
- Implementation of Fast-SCNN using Tensorflow 2.0☆87Updated 5 years ago
- Making a PyTorch model easier than ever!☆79Updated 3 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 4 years ago
- This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.☆174Updated 2 years ago
- Vision Transformer using TensorFlow 2.0☆99Updated 4 years ago
- Keras Implementation of MixNets: Mixed Depthwise Convolutions☆40Updated 5 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆85Updated 4 years ago
- How to implement Non Max Suppression (NMS) in PyTorch☆17Updated 2 years ago
- Yolo v4 in pytorch, tensorflow and onnx☆135Updated 5 years ago
- Tensorflow implementation of DETR : Object Detection with Transformers☆170Updated 3 years ago
- TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head☆61Updated 2 years ago
- Validation of the PyTorch -> ONNX -> Intel OpenVino workflow using pretrained ResNet-50☆44Updated 6 years ago
- TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆88Updated 4 years ago
- ☆156Updated 2 years ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆27Updated last year
- State-of-the-art data augmentation search algorithms in PyTorch☆47Updated 2 years ago