shrejais Goto Github PK

graph-representation-learning

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

hacker-tools.github.io

Hacker Tools class website

icocnn

Pytorch implementation of the icosahedral CNNs

icodoa

Code repository for the paper Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs

kdepy

Kernel Density Estimation in Python

laplace

Laplace approximations for Deep Learning.

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

make-a-pr

Learning git and github.

manifold-learning

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

manifold_mixup

Tensorflow implementation of the Manifold Mixup machine learning research paper

market-toolkit

A collection of stock market resources and tools

mastering-pytorch

Mastering PyTorch, published by Packt

meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

microphone-array-generalization-for-multichannel-narrowband-deep-speech-enhancement

This is the microphone array generalization investigation based on previous Narrow Band Deep Filtering methods.

microphone-sound-source-localization

:microphone: Microphone sound source localization by SRP-PHAT and others numerical methods.（基于SRP-PHAT的麦克风声源定位）

ml-cvnets

CVNets: A library for training computer vision networks

multi-source-sound-localization

This repo aims to perform sound localization in complex audiovisual scenes, where there multiple objects making sounds.

net2net

Network-to-Network Translation with Conditional Invertible Neural Networks

neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

normalizing-flows

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

p1xt-guides

Programming curricula

pilot

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

probabilistic-deep-learning-with-tensorflow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probabilistic-unet-pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

probabilisticai-projects

Projects for the ProbabilisticAI2020 course at ETH

probabilisticdeeplearningtensorflow

Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how

probabilisticperspectivemachinelearning

To replicate machine learning, deep learning and reinforcement learning concepts with Python and MATLAB