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3d-machine-learning

A resource repository for 3D machine learning

blender-flip-fluids

The FLIP Fluids addon is a tool that helps you set up, run, and render high quality liquid fluid effects all within Blender, the free and open source 3D creation suite.

build-your-own-x

🤓 Build your own (insert technology here)

cfd-deeplearning-unet

CFD-DeepLearning-UNET

circleoffifths

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deep-head-pose-lite

A lite-version hopenet for head pose estimation with PyTorch

deepturbulence

deepxde

Deep learning library for solving differential equations and more

delfem2

Research prototyping framework for physics simulation written in C++

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

emotion-detection

Real-time Facial Emotion Detection using deep learning

expectationmaximization_python

El Expectation-maximization (EM) es un método estadístico de Clustering similar al K-means, pero con un enfoque probabilístico.

fbpinns

Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".

few-shot-neural-talking-head-tensorflow

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models TensorFlow

flowtorch

flowTorch - a Python library for analysis and reduced-order modeling of fluid flows

gazetr

The codes and models in 'Gaze Estimation using Transformer'.

gp-e

Gazepoint Estimation algorithm

guitarset

GuitarSet: a dataset for guitar transcription

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

hpm

Hidden physics models: Machine learning of nonlinear partial differential equations

image-super-resolution-via-iterative-refinement

Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch

learnopencv

Learn OpenCV : C++ and Python Examples

lstm_rom_arxiv

A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269

machine-learning-applied-to-cfd

Examples of how to use machine learning algorithms in computational fluid dynamics.

matrix_vision

Matrix Cam: see yourself inside the Matrix!

min-char-rnn

@karpathy's min-char-rnn.py, edited a bit to support reading different inputs and writing to files

min-char-rnn-1

models

Models and examples built with TensorFlow