Reproduce a IEEE paper on image processing and neural networks
I can share you the code i have i want the results in the paper as it is
Read moreI can share you the code i have i want the results in the paper as it is
Read moreI run a small freelancing business and currently looking for Python, Ml, DL, DS, AI freelancers
Read moreNeed expert who already published many high journal in deep learning
Read moreProject on deep learning related
Read moreNeed to run a GitHub repository. It is already available but I need someone to make it run on my system.
Read moreI need object detection using Tensorflow, Deep learning. I have training data and test data and have to train images. I need in 1 day. Will provide more detail...
Read moreCreate a code sample that uses PyTorch Lightning and sstack ( 3rd party library ) to train a simple model Requirements: 1. It’s allowed to use one of the existi...
Read moreI need object detection using Tensorflow, Deep learning. I have training data and test data and have to train images. I need in 1 day. Will provide more detail...
Read more1- Making Feature importance (variables importance) such as H2O, Weeka, Permutation Feature Importance method. 2- Making Multiple deep neural network prediction...
Read moreNeed implementation support of object detection using yolo algorithm and masked cnn, and comparision of both models performrd. We apply l2 and augmentation on i...
Read moreuse Maximally Stable Extremal Regions (MSER) for detecting text candidates from the enhanced images. We then introduce Cloud of Line Distribution (COLD) feature...
Read moreuse Maximally Stable Extremal Regions (MSER) for detecting text candidates from the enhanced images. We then introduce Cloud of Line Distribution (COLD) feature...
Read moreuse Maximally Stable Extremal Regions (MSER) for detecting text candidates from the enhanced images. We then introduce Cloud of Line Distribution (COLD) feature...
Read moreTrain the robot using an RL algorithm to navigate freely in an environment
Read moreI would like to have tutoring sessions on Deep Learning for Computer Vision from basics to advance using PyTorch.
Read moreWe are looking for a simple jupyter notebook with text to face feature implementation using GANs. It is also fine to use existing code models. We are only looki...
Read moreI need object detection using Tensorflow, Deep learning. Will provide more detail via chat.
Read moreTCreate a code sample that uses PyTorch Lightning and sstack ( 3rd party library ) to train a simple model Requirements: 1. It’s allowed to use one of the exist...
Read moreI have log data where I have some suspicious activity from different IPs I have added anomaly messages, timestamps, IP addresses etc in the data. What kind of p...
Read moreUrgent task , to connect to the broker using api we will place trades in the paper account. Results and findings will be generated from this after trading. With...
Read more2 different Deep Reinforcement Learning model applications for the mobile robot navigation. Environment creation via Gazebo and Ubuntu 20.04 required.
Read morehttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9383215 dataset will be provided, need the work in 1-2 days implement in python / tensor-flow
Read more“ I have to develop a speech recognition system that recognises a keyword such as 'DOCTOR'. It is going to be installed in each room of a care home so that when...
Read moreI need to build an LSTM algorithm to forecast a time series data. the implementation should includes: 1- the forecast part that allow me to forecast in advance...
Read moreI have log data where I have some suspicious activity from different IPs I have added anomaly messages, timestamps, IP addresses etc in the data. What kind of p...
Read moreWe are working on a small assignment NLP sentiment analysis on Reviewe dataset but facing a issue while attempting to integration the faithfulness of the shap a...
Read moredeep learning, artificial intelligence to recognize voice from 30 seconds of audio and regenerate the same voice, same accent, same pitch and same audio quality...
Read moreI need a deep learning projec to predict the value of real estate as a function of a dataset with dozens of explanatory variables, including latitude and longit...
Read moreI need a deep learning projec to predict the value of real estate as a function of a dataset with dozens of explanatory variables, including latitude and lomgit...
Read moreHello everyone. Implementing Deep Learning based Audio Reconstruction/Denoising model. Will discuss more details in chat. Thanks.
Read moreIn Python, Keras, TF>2.4 I need a simple ResNet50-based image retrieval to be implemented. Then mean average precision based on this page: https://towardsdatasc...
Read moreTrain a machine learning model for low latency pose estimation using ZED camera
Read moreHello Developers, We need a person who has experience around Data processing, Machine Learning(ML), Artificial intelligence Shoot us a message for more info.
Read moreTrain a REAL time pose estimation model using RGBD sensor on tiktok dataset
Read more***In this project, in general terms, deep learning-based methods from MIMO signal detection algorithms will be compared. ***The work to be done will be carried...
Read morethis project will need to use a framework that supports auto-diff (computation graph, backprop) in order to compute gradients, and implement a sequence tagger w...
Read moreI need an expert for my project. I'll share complete details in chat
Read moreThere is a datset of appx. 47k crop leaf images classifed under 61 classes fo various crop diseases. Need to implement a deep learning model trained on this dat...
Read moreProject: Deep Learning Architectures for Solving Problems Related to Big Databases Using Python/TensorFlow/PyTorch and Libraries Pick up your project from the p...
Read morethis project will need to use a framework that supports auto-diff (computation graph, backprop) in order to compute gradients, and implement a sequence tagger w...
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