rah-man Goto Github PK

generative_models

Generative Modelling Experiments

gmm-torch

Gaussian mixture models in PyTorch.

gradientreversal

Gradient Reversal Layer for Domain Adaptation

grahgrah

graugrau

hands-on-generative-ai-with-python-and-tensorflow-2

Hands-On Generative AI with Python and TensorFlow 2, published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

inat_comp

iNaturalist competition details

jsb-chorales-dataset

Dataset for JSB Chorales at different temporal resolutions, with train, validation, test split from Boulanger-Lewandowski (2012).

kneebow

Knee or elbow detection for curves

kneed

Knee point detection in Python :chart_with_upwards_trend:

latextableeditor

readme

lev-merge

magenta

Magenta: Music and Art Generation with Machine Intelligence

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

music-generation-research

A straightforward collection of Music Generation research resources.

nervaluate

Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13

nli

nli_scripts

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

normalizing-flows

PyTorch implementation of normalizing flow models

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

rah-man

Config files for my GitHub profile.

react-complete-guide-course-resources

React - The Complete Guide Course Resources (Code, Attachments, Slides)

reinforced-continual-learning

code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."

selfhar

Improving Human Activity Recognition through Self-training with Unlabeled Data

shels

slca

Codes for ICCV 2023 paper: SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

sorobn

🧮 Bayesian networks in Python