keras

showing various ways to serve Keras based stable diffusion

Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU

天池阿里灵杰问天引擎电商搜索算法赛非官方 baseline，又名 NLP 从入门到 22/2771。

Tutorials and my solutions to the Udacity NLP Nanodegree

Implementation of DreamBooth in KerasCV and TensorFlow.

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

Text to Image Diffusion Models in Keras

On Device Stable Diffusion In Mobile Devices

Fine-tuning Stable Diffusion using Keras.

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

:dart: Gradient Accumulation for TensorFlow 2

ModelSoups for Tensorflow2 and Torch

Text Classification in Turkish Texts with Bert

An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras

Scripts for converting Keras CV Stable Diffusion to tflite

Generalized cross-modal NNs; new audiovisual benchmark (IEEE TNNLS 2019)

This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.

Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)

MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.