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onchiptech
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Google Research
Learn OpenCV : C++ and Python Examples
FinRL: Financial Reinforcement Learning. 🔥
Code release for NeRF (Neural Radiance Fields)
For trading. Please star.
High Quality Monocular Depth Estimation via Transfer Learning
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
An out-of-box human parsing representation extractor.
Unified Training of Universal Time Series Forecasting Transformers
Tutorials. Please star.
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Keras version of Realtime Multi-Person Pose Estimation project
Methods to get the probability of a changepoint in a time series.
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
The source code for paper "Deep Image Spatial Transformation for Person Image Generation"
A Python Library for Self Organizing Map (SOM)
(ICCV'21) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing" by Aiyu Cui, Daniel McKee and Svetlana Lazebnik
🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Scripts/Notebooks used for my articles published on Medium
Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement
Python binding to Skia Graphics Library
Experimental algorithms. Unsupported.
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
Pytorch implementation of the paper, Neural re-rendering of humans from a single image.