Popular GitHub Repositories for Expressions

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

:books: A collection of papers about Referring Image Segmentation.

[ICML 2024] MagicPose(also known as MagicDance): Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Turn SymPy expressions into trainable JAX expressions.

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

C# math expression library with symbolic computation support

A detection/segmentation dataset with labels characterized by intricate and flexible expressions. "Described Object Detection: Liberating Object Detection with Flexible Expressions" (NeurIPS 2023).

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

a compile-time finite state machine generator for regular expressions

Flask web app for recommending music based on your facial expressions using FER 2013 dataset and Spotify api

This is a Python 3 based project to display facial expressions by performing fast & accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library.

Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions