david-imagr
Follow
Stars
Colab/Jupyter tutorials about training TensorFlow models for Edge TPU, and other tutorials
FastAPI framework, high performance, easy to learn, fast to code, ready for production
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
A Tutorial for Parallelised Scalable Simulations in TensorFlow
Keras documentation, hosted live at keras.io
Mesh TensorFlow: Model Parallelism Made Easier
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
SQL databases in Python, designed for simplicity, compatibility, and robustness.
Semi-Supervised Learning, Object Detection, ICCV2021
Tensorflow implementation of Swin Transformer model.
Cloud Operations Sandbox is an open source collection of tools that helps practitioners to learn O11y and R9y practices from Google and apply them using Cloud Operations suite of tools.
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
⌛︎See through a computers eyes
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Keras implementation of Representation Learning with Contrastive Predictive Coding for images
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Tensorflow 2.3.0 implementation of DeepLabV3-Plus
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
A simpler way of reading and augmenting image segmentation data into TensorFlow
An open source library and framework for deep learning on satellite and aerial imagery.
Models and examples built with TensorFlow