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asterisk-opus

Opus (transcoding) and VP8 (passthrough) support for Asterisk, needed for a better WebRTC integration

atr-ssl

Semi-supervised Deep Learning for Automatic Target Recognition --

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

awesome-random

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

barlowtwins

PyTorch implementation of Barlow Twins.

brace-pytorch

Non official implementation of Explanation-based Data Augmentation for Image Classification: https://openreview.net/pdf?id=Ydlco-tfIG

cgg-da-ssl

Confidence Guided Generative Data Augmentation for semi-supervised Training

cse590-spring21-intro-to-ml-dl

dlaicourse

Notebooks for learning deep learning

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

feature-engineering---materials-science

Data driven materials discovery

fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

fractaldb-pretrained-resnet-pytorch

Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)

imdb-movie-reviews-sentiment-analysis

Classify and predict reviewers’ sentiments (positive or negative) based on iMDb movies reviews dataset using Python and Keras.

machine-learning-articles

List of interesting articles on different topics of machine learning and deep learning

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

master

A machine learning course using Python, Jupyter Notebooks, and OpenML

metric-transfer.pytorch

Deep Metric Transfer for Label Propagation with Limited Annotated Data

mit-covid-19-datathon-teame001

Project in MIT COVID-19 Challenge

mixmatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

mixmatch.pytorch

Unofficial pytorch implementation for "MixMatch: A Holistic Approach to Semi-Supervised Learning"

notes--deeplearning.ai-tensorflow-developer

Notes from Coursera specialization: DeepLearning.AI TensorFlow Developer (https://www.coursera.org/professional-certificates/tensorflow-in-practice)

powerful-benchmarker

A PyTorch library for benchmarking deep metric learning. It's powerful.

pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pytorch-consistency-regularization

PyTorch implementation of consistency regularization methods for semi-supervised learning

pytorch-custom-dataset-examples

Some custom dataset examples for PyTorch

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.