Maschinelles Lernen · GitHub

💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).

Deep Learning and applications in Startups, CV, NLP

A summary of open-source deep learning-based infrared and visible image fusion and some vision algorithms. 红外与可见光图像融合的开源代码

This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

GlottDNN vocoder and tools for training DNN excitation models

NLP pipelines for Tagalog using spaCy

Natural Language Processing Papers

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

TensorFlow Image Classifier Demo by @Sirajology on Youtube

DeMoN: Depth and Motion Network

Network estimating 3D Handpose from single color images

Resources for working with time series and sequence data

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.