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    Hello, Im looking for experience in crypto price forecasting for very short term. I need someone with good experience and who already did similar project.

    $12 / hr (Avg Bid)
    $12 / hr Avg Bid
    4 bids

    A project on Data Augmentation in NLP where we can use an ensemble approach using 3 - 4 text data augmentation techniques and later using some similarity filter like universal sentence encoder, we can choose the best augmentation technique for the dataset, and also to use different types of datasets too, for comparision.

    $130 (Avg Bid)
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    5 bids

    Hey! There, I am pursuing MTech and as part of the academic curriculum, I have to publish a research paper in Scopus Indexed Journal. So the Problem is like my guide suggested writing a paper on Data Augmentation in NLP where we can use an ensemble approach using 3 - 4 text data augmentation techniques and later using some similarity filter we can choose the best augmentation technique for the dataset, and also to use different types of datasets too, for comparison. I couldn't find how to start that's why I landed here and found it helpful in this. I've attached a Visual concept of that.

    $320 (Avg Bid)
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    5 bids

    An algorithm for trading crypto currencies has been implemented. Your job is to change the variables to improve the output and incorporate how to add other algorithms to the solution. We will provide you with the exact requirements that we are looking for. Points to Note: 1. We are currently using the Q learning algorithm. We have tried PPO and A2C but there are certain problems with it. 2. We have data from about 12 crypto coins, the main ones primarily include Bitcoin and ethereum. 3. The data ranges from 2013 upto 2020. There is no consensus currently on how much training should be used for the bot (trading agent in our case ) to mature. We have run the algo at about 200 epochs and that is sufficient to mature it. 4. The code is purely in Python In summary: the goal is to imp...

    $235 (Avg Bid)
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    11 bids

    I will provide JSON files with the extracted features (I will extract these from the pcap files). The features will be from malware and non-malware traffic, so the idea is to detect and classify the malware and non-malware samples. The feature selection should be done two ways: Manual and automated and we should be able to clearly identify the features that are being used and which features work well, and which features do not work well. As there are multiple datasets, we should be able to identify the features that work well across all the datasets. There are different versions of the malware, so we need to clearly identify which features work well across all these malware versions. The manual feature selection should allow me to select which features I want to use for the classificatio...

    $167 (Avg Bid)
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    15 bids

    Traffic Congestion Prediction using LSTM + CNN LSTM + GNN

    $147 (Avg Bid)
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    4 bids

    Need to capture measurements (Centimeters/INCHES) of a body through live webcam. Like waist, hips, height, waist, chest/bust, shoulder, length (arms, legs).

    $49 (Avg Bid)
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    4 bids

    i have a dataset i want to resize all the images to be in same size (224x224x3 )

    $20 (Avg Bid)
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    Use Python to build AI models to play Dirt 5. You’ll need to train a model which can play autonomously! Machine Learning should be used to play the game "Dirt 5." There should be 10 - 15 mins of continuous input where the car will try to stay on the tracks and go around the tracks. The goal is not to win the game but to simulate someone playing the game. If the car hits a barrier or another car or gets off track of the course, it correct itself and get back on track. OpenCV, TensorFlow and Keras should be used. No other deep learning languages. The requirements listed are all of the requirements. Other than that I am open. I believe the game is free for PC on steam. You can look at how the game is played on YouTube for more details: 1 Example: Here is an example video ...

    $232 (Avg Bid)
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    10 bids

    Find the anomaly in stream sensor data using deep learning with drift handling. Preferred deep model is GAN and RNN.

    $235 (Avg Bid)
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    The code is here: The person should have good knowledge in understanding and writing code. I will need it to be done within 3 days.

    $128 (Avg Bid)
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    16 bids

    Pedestrian Detection using Deep Learning (CNN - TensorFlow) applying on Caltech Pedestrian Detection Dataset.

    $149 (Avg Bid)
    $149 Avg Bid
    16 bids

    Add categories car, bike, bus, heavy truck, light truck, 3 wheeler, lcv, tractor in the given code and create a new dataset according to my videos.

    $148 (Avg Bid)
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    5 bids

    We need to implement a Computer Vision (CV) system that will receive images and/or video streaming from CCTV systems. We want a tested pre-trained algorithm as YOLOv4, YOLO9000, OpenCV with the standard prediction of 1,000 classes/labels (as trained on ImageNET). Algorithm to be used is suggested to be OpenSource as: YOLOv4, YOLO9000, OpenCV, etc. we can consider other options. The solution must be implemented on a VPS (Virtual Private Server) or similar server that will be provided by us, but the requirements of the server must be specified by you. ==PLEASE READ MORE ON DOCUMENT ATTACHED==

    $286 (Avg Bid)
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    Analysis of scraped URL data (HTML, screenshots, json) and building models to identify the impersonated domains (malicious and non-malicious). The tasks will be simple if you have worked previously on ML or computer vision projects and might need support for about 2 months. Need to be efficient iin writing clean code and completing the project end-to-end.

    $134 (Avg Bid)
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    We have a gcms data in Sql format We have created around 100 samples and have that data stored in Sql server Now we want to use AI to predict composition of unknown samples using the data we have? Let me known if you think you can do that

    $433 (Avg Bid)
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    build model deployment -- 2 3 days left
    VERIFIED

    I have pkl for model and I have gile og model, I want bulid a model deployment. I use Urban-Sound-Classification

    $42 (Avg Bid)
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    Hello there, This is a cool project to do. Find and configure an open-source project that will 'toonify' photos on the local Linux machine. In the end, you want to have a command that will provide 2 pictures and style.jpg. The neural network should convert to and be similar to '' Write documentation of how you did it. Some additional information: You can't use API from other sites. The project should render the image on the local machine. If you have a working solution - just write to me.

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    Data we gather from different IOT devices placed in cloud, while upload and download we need protect data with respect to privacy and security For providing privacy and security we use facial recognition and digital sign for security for facial recognition we use ML Deep learning and neural networks So i need the peer who has knowledge on ML DNN Network security Cloud

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    I am trying to make an object detection model using yoloV5. I have trained the images using the base model and trying to boost the accuracy.

    $171 (Avg Bid)
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    I am interested to work on a long-term research project where I need to conduct a depth study to find a gap or modify method (Approach) in the area of Neural Network optimization for the edge devices. I am planning toward research and publication. Please contact me if interested.

    $30 / hr (Avg Bid)
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    i need an expert that can work with kaggle, object detection that using rotated bounding box is the task

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    i need an expert that can work with kaggle, object detection that using rotated bounding box is the task

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    i need an expert that can work with kaggle, object detection that using rotated bounding box is the task

    $150 (Avg Bid)
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    Hi I need to modify training script. I need to add one custom class with other details. This project needs the code modifications. I need this ASAP if possible. Please don't bid more than the budget.

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    I'm a professional programmer; however, my area of expertise is specifically software engineering and architecture in backend web applications. I'm really interested in tinkering on a project with deep learning and computer vision. I have a pool table and would like to be able to watch shots I've taken and figure out why I missed. I'd like guidance on how to learn for myself the intricacies of this problem: use deep learning and computer vision to automatically clip a video starting with getting down into the shot and end it when the balls come to a rest. I'd like to hire you to spend time with me discussing the problem, and maybe screenshare different tools or resources. I'd like to also hire you to help create the initial things. My expertise is in PHP a...

    $33 / hr (Avg Bid)
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    i need an expert that can work with kaggle, object detection that using rotated bounding box is the task

    $154 (Avg Bid)
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    i have a project on object detection that using rotated bounding box , bounding box + angle

    $87 (Avg Bid)
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    rotated bounding box 1 day left
    VERIFIED

    i have a problem with rotated bounding box object detection

    $140 (Avg Bid)
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    12 bids

    GPT-3 experienced developer required for AI based products.

    $30 - $250
    Sealed
    $30 - $250
    1 bids

    Hi, I want to make text font similarity model using deep learning, in order to find out different text fonts. The input will be two text images with different or same font(Of course the text image will have some noise.). If they have same font, the output will be 1, and otherwise it will be 0. You can change the output if you want, I just want to distinguish different text font.

    $114 (Avg Bid)
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    Need a fruit detection algorithm ( prefereably yolo v4/v5 or faster rcnn) that gives me the bounding boxes of fruits as output, need a good accuracy above 90 percent with 14 or more classes.

    $132 (Avg Bid)
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    I want someone who is professional in developing deep learning methods to adapt challenges and limitations of artificial intelligence approaches. The freelancer will be responsible to write a pre-proposal before start and then confirmation the requirements. The programming language is preferably python.

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    o We plan to implement the Extended Kalman Filter (EKF) process for trajectory prediction procedure in OMNET++. o We plan to extend the implementation of multi-agent reinforcement learning (RL) network for sensor scheduling during target tracking in OMNET++. o The UAVs cooperate with each other in order to learn how to share their sensory data and act as the scout for each other. o Utilizing a multi-agent RL network makes possible for the UAVs to communicate and share their capabilities and learn from one another in OMNET++.

    $150 (Avg Bid)
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