879 Open source projects that are alternatives of or similar to Awesome Federated Learning

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Python package to visualize and cluster partial dependence.

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Semisupervided LDA for theory-driven text analysis

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

[archived] effortless video-voice chat with realtime collaborative features. extensible using react components 🙌

Awesome Graph Self-Supervised Learning

🔐A small webpage library to control the execution of (third party) scripts

TensorFlow implementation for "Guided Optical Flow Learning"

Human-explainable AI.

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Lookyloo is a web interface that allows users to capture a website page and then display a tree of domains that call each other.

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Reproducible Rapid Research for Neural Architecture Search (NAS)

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Share and collaborate by syncing with any Git repository instantly. Linux, macOS, and Windows.

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Neural Architecture Search Powered by Swarm Intelligence 🐜

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

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Adapt Transformer-based language models to new text domains

A library for transfer learning by reusing parts of TensorFlow models.

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Privacy DNS infrastructure

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Energized Protection Magisk Module.

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

Build your own privacy and security focused Android OS in the cloud.

supervised and semi-supervised image classification with self-supervision (Keras)

Awesome Domain Adaptation Python Toolbox

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

A simple - customizable - Discord Client

A project on improving Neural Networks performance by using Genetic Algorithms.

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

Completely block Google and its services

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

A minimalistic grey new tab page for Google Chrome. No external network requests. No analytics. No tracking. No bullshit.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Self-contained Tor from Go

Simple Go program that makes HTTP request constantly in order to generate random HTTP/DNS traffic noise

A full-fledged one-to-one chat app developed entirely in Flutter

Semi-Supervised Learning and Collective Classification

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

Firefox Add-on that lets you open automatically managed disposable containers

Repository for Transfer Learning using Deep CNNs trained with synthetic images

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

WireGuard VPN server installer

Technitium DNS Server

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Public facing deeplift repo

H2O.ai Machine Learning Interpretability Resources