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Food Classification with Deep Learning in Keras / Tensorflow

Collection of papers and resources for data augmentation for NLP.

kmeans using PyTorch

So-VITS-SVC 本地部署使用帮助文档，提供Colab笔记本 So-VITS-SVC Local Deployment Document and provide Colab notebook

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Go binding for Pytorch C++ API (libtorch)

Use PyTorch to implement some classic frameworks

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

Machine Learning-based sentiment analysis of code-mixed Indian text using Word and Character TF-IDF with Naive Bayes, Logistic Regression, and Linear SVM.

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

🤖 Перший в світі бот-русофоб.

Collection of models for Core ML

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Gaze Estimation using Deep Learning, a Tensorflow-based framework.

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

Training Very Deep Neural Networks Without Skip-Connections

PyTorch and Tensorflow functional model definitions

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/