Drone Task1 - Drone Task1 With Python
Overview
A PyTorch implementation of unsupervised SimCSE
A PyTorch implementation of unsupervised SimCSE
Brain Tumor Detection with Tensorflow Neural Networks.
Brain-Tumor-Detection A convolutional neural network model built with Tensorflow & Keras to detect brain tumor and its different variants. Data of the
HAR-stacked-residual-bidir-LSTMs - Deep stacked residual bidirectional LSTMs for HAR
HAR-stacked-residual-bidir-LSTM The project is based on this repository which is presented as a tutorial. It consists of Human Activity Recognition (H
Sample code from the Neural Networks from Scratch book.
Neural Networks from Scratch (NNFS) book code Code from the NNFS book (https://nnfs.io) separated by chapter.
Demos of essentia classifiers hosted on replicate.ai
essentia-replicate-demos Demos of Essentia models hosted on replicate.ai's MTG site. The models Check our site for a complete list of the models avail
Official Repo of my work for SREC Nandyal Machine Learning Bootcamp
About the Bootcamp A 3-day Machine Learning Bootcamp organised by Department of Electronics and Communication Engineering, Santhiram Engineering Colle
Code for the paper "Relation of the Relations: A New Formalization of the Relation Extraction Problem"
This repo contains the code for the EMNLP 2020 paper "Relation of the Relations: A New Paradigm of the Relation Extraction Problem" (Jin et al., 2020)
Animate molecular orbital transitions using Psi4 and Blender
Molecular Orbital Transitions (MOT) Animate molecular orbital transitions using Psi4 and Blender Author: Maximilian Paradiz Dominguez, University of A
An efficient framework for reinforcement learning.
rl: An efficient framework for reinforcement learning Requirements Introduction PPO Test Requirements name version Python =3.7 numpy =1.19 torch =1
Generalized Decision Transformer for Offline Hindsight Information Matching
Generalized Decision Transformer for Offline Hindsight Information Matching [arxiv] If you use this codebase for your research, please cite the paper:
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation Paper Links: TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentati
TimeSHAP explains Recurrent Neural Network predictions.
TimeSHAP TimeSHAP is a model-agnostic, recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain. TimeSHAP computes even
An AFL implementation with UnTracer (our coverage-guided tracer)
UnTracer-AFL This repository contains an implementation of our prototype coverage-guided tracing framework UnTracer in the popular coverage-guided fuz
Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification"
hypergraph_reid Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification" If you find this help your research,
Understanding Convolution for Semantic Segmentation
TuSimple-DUC by Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, and Garrison Cottrell. Introduction This repository is for Under
A deep learning network built with TensorFlow and Keras to classify gender and estimate age.
Convolutional Neural Network (CNN). This repository contains a source code of a deep learning network built with TensorFlow and Keras to classify gend
PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning
PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning
torchsummaryDynamic: support real FLOPs calculation of dynamic network or user-custom PyTorch ops
torchsummaryDynamic Improved tool of torchsummaryX. torchsummaryDynamic support real FLOPs calculation of dynamic network or user-custom PyTorch ops.
YOLOv7 - Framework Beyond Detection
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
A facial recognition doorbell system using a Raspberry Pi
Facial Recognition Doorbell This project expands on the person-detecting doorbell system to allow it to identify faces, and announce names accordingly