This is my personal Home Assistant configuration. My guiding princile is to have full local control of all my devices. I intend everything to run Tasmota, ESPHome or speak Zigbee to my MQTT broker.
This project still an active work in progress. Stay tuned for more information about what hardware I am using, how it's configured, etc.
For now, please enjoy, and feedback always welcome!
semanticsearch This is a deep learning based semantic search platform that computes similarity scores between provided query and documents. Documents
Introduction This code is the implementation of the paper "Coherence-Based Distributed Document Representation Learning for Scientific Documents". If
Self-paced Contrastive Learning (SpCL) The official repository for Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining
Morphable Detector for Object Detection on Demand (ICCV 2021) PyTorch implementation of the paper Morphable Detector for Object Detection on Demand. I
Using fully convolutional networks for semantic segmentation (Shelhamer et al.) with caffe for the cityscapes dataset How to get started Download the
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight) Abstract Due to the limited and even imbalanced dat
Unsupervised Learning - K-Means Clustering and Hierarchical Clustering - The Heritage Foundation's Economic Freedom Index Analysis 2019 - By David Sal
TensorFlow-Tutorials Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano Tutorial
Grow Function: A 3D Stacked Bifurcating Double Deep Cellular Automata which differentiates using a Genetic Algorithm... TLDR;High Def Trees that you can mint as NFTs on Solana
Long-Short Transformer (Transformer-LS) This repository hosts the code and models for the paper: Long-Short Transformer: Efficient Transformers for La
5 Steps to Speed Up Your Data-Analysis on a Single Core Material for my talk at the PyConDE & PyData Berlin 2022 Description Your data analysis pipeli
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers This repository contains PyTorch implementation of the Adaptive Fourier Neu
package tests docs license stats support This repository contains FEDOT - an open-source framework for automated modeling and machine learning (AutoML
Equivariant Subgraph Aggregation Networks (ESAN) This repository contains the official code of the paper Equivariant Subgraph Aggregation Networks (IC
darija-dictionary Having advanced IT solutions that are well adapted to the Moroccan context passes inevitably through understanding Moroccan dialect.
ROS-UGV-Control-Interface Cam Closed: Cam Opened:
Equivariant CNNs for the sphere and SO(3) implemented in PyTorch
Dynamic Token Normalization Improves Vision Transformers This is the PyTorch implementation of the paper Dynamic Token Normalization Improves Vision T
Reinforcement-Learning-Notebooks A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented
1 Nov 30, 2021
0 Jan 11, 2022
286 Dec 21, 2022
249 Dec 22, 2022
9 Feb 23, 2022
27 Jun 06, 2022
99 Dec 12, 2022
1 Jan 12, 2022
6k Jan 06, 2023
4 Oct 08, 2022
198 Dec 29, 2022
9 Dec 12, 2022
77 Dec 29, 2022
482 Dec 26, 2022
59 Dec 13, 2022
102 Jan 01, 2023
1 Nov 04, 2022
893 Dec 28, 2022
20 Oct 09, 2022
1k Dec 28, 2022