Maschinelles Lernen · GitHub

Deep learning for molecules and materials book

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

• Various units: Stochastic binary, Gaussian, Softmax and nRLU units
• CD-1 learning by default

🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简，极快，高效是我们的宗旨)

MiVOLO age & gender transformer neural network

Python framework for Deep Learning in Proteomics

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

Machine Learning Experiments and Work

A Python Package For System Identification Using NARMAX Models

PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

Implementations of various VAE-based semi-supervised and generative models in PyTorch

"A neural algorithm of Artistic style" in tensorflow

💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

notes of machine learning algorithm derivation

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)