Modify Deep learning google colab template
Hi, I am looking for someone to modify a ready google colab template for training a deep learning model using TPUs on classification of images. the following ch...
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Making Convolutional LSTM Autoencoder for dehazing VIDEOS -- 2
1) Examine this implementation : https://towardsdatascience.com/convolutional-autoencoders-for-image-noise-reduction-32fce9fc1763 2)Swap CNN layers with CLTSM l...
Read moreBuild a machine learning model to generate specific types of questions from the passage.
I have about 90000 words of text, passages and their follow-up questions. The follow up questions are of very specific types. I want someone who could build an...
Read moreMaking Convolutional LSTM Autoencoder for dehazing VIDEOS
1) Examine this implementation : https://towardsdatascience.com/convolutional-autoencoders-for-image-noise-reduction-32fce9fc1763 2)Swap CNN layers with CLTSM l...
Read moreImplementation of Few-Shot Learning for Custom Image Dataset
I need to implement few-shot learning scheme for custom image dataset. The details of project are given in attachment.
Read moreFont recognition from image
Font recognition from image using adobe VFR dataset. Already a github project. Want you to just create a POC and validate its working on the entire dataset not...
Read moreMaking CLSTM Autoencoder for dehazing VIDEOS
1) Build Conventional LTSM Autoencoder 2)Taking video inputs 3) Output have to dehazed 4) Explain how did u design? https://github.com/BookerDeWitt/REVIDE_Datas...
Read moreSign Language Recognition
In this project, you will develop a recognition system to recognize the sign in each sign video of the KArSL dataset. KArSL is an Arabic sign language dataset....
Read moreA Tensorflow data pipeline creator
I want to create a Tensorflow data pipeline that accepts two arrays of image data and the first shape is (364, 436, 3), and the second shape is (256, 512, 3) fo...
Read moreImplementation of Zero-Shot Learning Algorithm in Python or Jupyter.
I am looking for expert freelancer having good experience with machine and deep learning (especially have some work with zero-shot learning). Please find the at...
Read morePython Image Processing and Computer Vision with a venv on Visual Studio Code: Segmentation and image manupulation
I am looking for someone masters python and tensorflow package for computer vision and image processing. The task is to do visualization and segmentation coding...
Read moreI need to improve my Siamese LSTM model with high F1 score.
This Model is used for detecting similarity between two sentences. It is Multi-class problem There are 5400 sentence pair in training data-set. I got 76 accurac...
Read moreArabic Native Speaking to Neural Network Freelancer.
Task. Social media Depression detection using bidirectional LTSM. Challenge: Social media data is in Arabic. Only bid if you are a native speaking
Read moreError rate, cross-vaild for face recognation method
This project required the freelancer to develop a function that can calculate the error rate and cross-vaild for the existing method.
Read moreinstance segmentation using YOLO7
I need a code to do "instance segmentation" using YOLO7. the code should take an image folder and output a folder containing cropped objects from the image in i...
Read moreArtificiell intelligente simple project
The project is a flutter and dart application that shows the results of analyzing an image captured by a phone Tensor Flow, and any other color and analysis lib...
Read moreBuilding a NN using Keras to predict income of individuals
Only reach out if you're very familiar with building a NN using Keras to predict income of individuals. The task is straightforward with limited budget.
Read moreTrain the Siamese LSTM network to detect similarity between two sentences(Python)
Train the model with two different approach to detect either the two sentence are semantically different or not.(Plagiarism detection) Dataset in Urdu Language....
Read moreRemove object from photo using AI for iOS app
Ping me if you have already done remove object from photo using mlmodel.
Read moreMerge two models of deep learning for multi-class classification NLP
I build two models of deep learning and I face a problem in merging two models. I am using Keras , I would like someone who is expert in Keras
Read moreI need to a developer to create Python code using Tensorflow to predict a value in a dataset
For a project I'm working on, I have lots of sets of asset prices data in files. Each file has a 3 minute period of price data. For each period there is an acce...
Read moreBuild a Parallel Deep Learning Hybrid Model for Brain Tumor Classification
Implement the following research paper on Figshare Brain Tumor Dataset - https://www.kaggle.com/datasets/ashkhagan/figshare-brain-tumor-dataset Basically Extrac...
Read moreDebug ML code
Task: 1.) Debug/run predict.py 2.) Use trained model to predict who wins (H,D,A) for the upcoming matches https://www.football-data.co.uk/fixtures.csv
Read moreKeras Model (Python) TF record questions
I am building Keras Model using TFrecord type dataset. However, there are some errors, so I have questions about it.
Read moreAdd Retinanet to tensorflow model
base_model1 = tf.keras.applications.Xception( include_top=False, weights="imagenet", input_tensor=None, #input_shape=None, pooling=None, classes=200, input_shap...
Read moreAssignment - Different approaches to defining neural network with keras and tensorFlow
It is a simple assignment where certain part of code is given and we need to fill in few parts we need to create three models 1. Using sequential API 2. using F...
Read moreProstate Medical Image Segmentation
I have a dataset of 250 T2 3D MRI Prostate volumes that I need segmented. I am looking for a train an UNet like segmentation network that give good segmentation...
Read moreData Extraction OCR -- 2
I just need model with source code explanation and model performance metrics (not looking for end to end project or UI) I have unstructured pdfs with scanned da...
Read moreData Extraction OCR
I just need model with source code explanation (not looking for end to end project or UI) I have unstructured pdfs with scanned data, I want convert it into ima...
Read moreProtein Secondary Structure prediction using deep learning
It is a classification problem. In this study, machine learning models are developed for protein secondary structure prediction (PSSP), relative solvent accessi...
Read moreImage detection using tensorflow
Hi, I'm urgently looking for someone to help me in doing a project in object detection using transfer learning approaches. The project should be implemented usi...
Read moreImplementing an attention module in existing CNN based model
I have an already implemented densenet based deeplearning model for hyperspectral image segmentation and want to add an attention module in that existing model.
Read morePartial Discharge Detection Using Deep learning algorithms -- 3
Partial Discharge detection using deep learning algorithms
Read moreExperiment Visualization for CNN (Keras) in Google Colab using Tensorboard & Keras Tuner
I have built a CNN in Google Colab (recognize cats & dogs) using Keras. Everything works fine. However, I'd like to understand the progress of the CNN by visual...
Read moreDeep Learning Project on Plant Disease Detection using CNN, Keras, Transform Learning Models
This is a deep learning project (Plant Disease Classification) where you have to implement any 4-5 transform learning models (like VGG16, VGG19, ResNet, MobileN...
Read moreFace emotion recognition using CNN
I find a ML/DL expert to help me.
Read moreSmartHome Project
You will work to develop a python application for classifying SmartHome gestures. This will require training and testing a CNN model for hand gestures, and appl...
Read moreDeep Learning for Stock Market
Evaluate and tune various machine learning models for given customized dataset.
Read moreSolve LSTM Issue where model.predict losses do not correspond to model.fit -- 3
I am training an LSTM for a time series prediction task. Environment: Google Vertex AI VM with JupyterLab - Google pre-configured Tensorflow 2.9.1 environment I...
Read moreSolve LSTM Issue where model.predict losses do not correspond to model.fit
I am training an LSTM for a time series prediction task. Environment: Google Vertex AI VM with JupyterLab - Google pre-configured Tensorflow 2.9.1 environment I...
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