Popular GitHub Repositories for Aicps Units

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

Python library for analysing faces using PyTorch

Soft speech units for voice conversion

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Code for "Aligning Linguistic Words and Visual Semantic Units for Image Captioning", ACM MM 2019

An Out-of-the-Box Replication of GANimation using PyTorch, pretrained weights are available!

Official repository for "Speaking Style Conversion With Discrete Self-Supervised Units" (EMNLP 2023). https://arxiv.org/abs/2212.09730

Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al

Acoustic models for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Context-sensitive word embeddings with subwords. In Rust.

Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

LSTM Language Model with Subword Units Input Representations

Atom of Thoughts (AoT) MCP is a server that decomposes complex problems into independent atomic units of thought, using the dependencies between these units to deliver more robust reasoning and validated insights.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

:shield: A GRU deep learning system against attacks in Software Defined Networks (SDN).

Novel recurrent layers for Flux.jl

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN