Popular GitHub Repositories for Hidden Units

Machine learning, in numpy

simple neural network library in ANSI C

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

State Space Models library in JAX

Python library for analysing faces using PyTorch

Soft speech units for voice conversion

[ICCV'23] Hidden Biases of End-to-End Driving Models

EdgeChains.js is Full-Stack GenAI library. Front-end, backend, apis, prompt management, distributed computing. All core prompts & chains are managed declaratively in jsonnet (and not hidden in classes)

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

Powerful and highly functional startpage integrated with chatGPT and hidden under the super minimalistic and animated design (static/hosted/github pages)

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

CSV-AI is the ultimate app powered by LangChain, OpenAI, and Streamlit that allows you to unlock hidden insights in your CSV files. With CSV-AI, you can effortlessly interact with, summarize, and analyze your CSV files in one convenient place.

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!

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Input Output Hidden Markov Model (IOHMM) in Python

Neural HMMs are all you need (for high-quality attention-free TTS)

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Deep Markov Models