Machine Learning (ML) Jobs

Buenas, mi proyecto se trata sobre diseñar un juego en Python llamado ahorcado, donde se tiene que ocupar la biblioteca opencv para tener una visualización gráfica en tiempo real. En este link: están las bases del juego, pero sin la biblioteca openCV (los códigos ocupados en el el video tienen que tener modificaciones). Ademas de esto, tiene que haber un paso a paso de como se realizo el código, con sus respectivas modificaciones y como funcionan cada código, puede estar escrito en un docuemento word.

Modified the code from to be used in the process of extracting pcap files into csv which has 115 features. Some people who have successfully modified it include and /structured_dataset/normal/. as an illustration, I attach the desired csv file form, besides that, a little guide on the results of the modifications that I have done but have not succeeded optimally, this is because it only managed to extract 115 records, not in its entirety.

hI , I WANT TO SHARE THINGS WITH YOU.I am a business modurater , i nee simulation of few points , Omnet++ part is done , we need integrated RL into this, just want to convert our working system should by using Reinforcement ML learning methods The RL codes will be written in Python and tested Jupiter notebook, The algorithms which are planning to use can be seen from this link:

I need the developer to identify topics in google reviews for Charles de Gaulle airport and Frankfurt. airport . using gensim algorithm

Publishing social media data would raise more concerns on user privacy. To encourage data sharing and mitigate user privacy concerns, a number of anonymization and de-anonymization algorithms have been developed to help protect privacy of social media users. In this work, we propose a new adversarial attack specialized for social media data. We further provide a principled way to assess effectiveness of anonymizing different aspects of social media data. Our work sheds light on new privacy risks in social media data due to innate heterogeneity of user-generated data which require striking balance between sharing user data and protecting user privacy.

Hello I have data which needs to be analyzed must likely Annova 3 ways but the problem I have checked the assumption of ANOVA and my data is not normal;;y distributed so this needs to be fixed then apply ANOVA.

Publishing social media data would raise more concerns on user privacy. To encourage data sharing and mitigate user privacy concerns, a number of anonymization and de-anonymization algorithms have been developed to help protect privacy of social media users. In this work, we propose a new adversarial attack specialized for social media data. We further provide a principled way to assess effectiveness of anonymizing different aspects of social media data. Our work sheds light on new privacy risks in social media data due to innate heterogeneity of user-generated data which require striking balance between sharing user data and protecting user privacy.

Publishing social media data would raise more concerns on user privacy. To encourage data sharing and mitigate user privacy concerns, a number of anonymization and de-anonymization algorithms have been developed to help protect privacy of social media users. In this work, we propose a new adversarial attack specialized for social media data. We further provide a principled way to assess effectiveness of anonymizing different aspects of social media data. Our work sheds light on new privacy risks in social media data due to innate heterogeneity of user-generated data which require striking balance between sharing user data and protecting user privacy.

I need a writer who is familiar with machine learning and NLP. I'll send more details.

This project is first classifying the traffic to normal and attacks then the normal traffic is then pass and will be balanced in all ports to be in balance. The model should be controlled by deep learning algorithm. The model should be emulate using Mininet and floodlight

Create a web application that can predict height and weight of a person from full body image which in turn calculates the BMI using the predictions. The developer just needs to deploy pretrained models for height and weight which are available on Github and display the predicted height, weight and BMI to a web app.

i need the Python and deep learning coder needed for multiple jobs. Details will be discussed.

i need the Python and deep learning coder needed for multiple jobs. Details will be discussed.

I need a writer who is familiar with machine learning and NLP. I'll send more details.

I made an AI Assistant using python. I have automated my laptop using AI.

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The main challenge is to implement a linear speed up

The project targets at development of a Fraud Detection model through which the digital data acquired through an ecommerce platform can be used to suspect a user as fraud in real time. Qualifications: 1. 3+ years of experience in ML 2. Proficient in Python, Pandas, ML Frameworks, Deep Learning 3. Able to work and coordinate with the project team Responsibilities: 1. Work in coordination with the project team 2. EDA for various types of data 3. Development of ML model

I'm looking for a python expert who can run docker compose v 2.5 or greater on their computer. we need to find high correlations between two 4-6 month time sereies samples aggregated from all stocks in time in the s&p 500 I represent a data science company and can provide you a few contracts. please select a time here please have these answers during interview 1. are you quick with docker-compose and docker? 2. are you quick with python libraries such as pandas 3. do you python asynchronous or multiprocessing to speed up a thorough ranking analysis 4. what type of table do you need to find an aggregate correlation coefficient sum for a time in s&p so that we find the highest correlation between today and another bear market 5. learn this first 6. do you know git and...

Main Task - Image Reconstruction 1. Custom image Dataset must be loaded from the local drive. As of now you can load your own dataset. 2. Image Augmentation have to be included Important: There should not be any restriction on the dimensions of the image. It will work with all the image dimensions Step 1: 3. The various types of Autoencoder techniques and GAN must compared with and without hyper parameter tuning, Ensembling methods with various performance metrics. 4. There is an option to mention and control the types of noises with the range 5. The reconstructed results will be checked with the bunch of images or else the single image with similarity score with the input image.

It is a small NLP pipeline that was already mounted and explored.

Create parallel implementation of A* algorithm

I already have a model that is built using TensorFlow Decision Forests. I have to convert some of the preprocessing steps from pandas to tensorflow. And model building steps. Bid only if you have experience in tensorflow and is available to do it right now.

The developer must have good experience in Machine learning and Python as well as app development. Thanks.

risk prediction machine learning for stock markets with different factors to be calculated

pre process of image and detection of image

A drawing application allows the user to draw on a screen by: 1) tracking the movements of hand and fingers. 2) drawing with objects. The object is the drawing tool. The object is the brush

I need the Computer Vision and Deep Learning coder for multiple jobs.

A drawing application allows the user to draw on a screen by: 1 – tracking the movements of hand and fingers. 2- Drawing with objects. The object is the drawing tool. The object is the brush

Hi. Can you build poker ai bot. You need build NLH AI bot and it should provide an api for betting. This is machine learning poker ai bot source code. You can use this one or not. Anyway you need to do those 2 things. 1. build poker AI bot with python or node or others. 2. the bot service should provide an api for betting on based current situation. For the api: input data will be the information of current situation when the bot has turn. hands, betting amount, pot, public cards, game state(freflop, flop, turn, river) and etc. the output data should be the betting amount, [may be added betting action(check, call, fold, raise, allin, bet)] If you can do this in 2 or 3 days, It will be good for me. Please don't worry about the money, I can pay as you want. Thanks.

We would like to hear the opinions of machine learning practitioners on machine learning experiment management tools. Experiment management tools support practitioners performing machine learning (ML) or deep learning (DL) experiments to manage all involved artifacts and metadata (datasets, features, scripts, hyperparameters, evaluation metrics, models, …). Such tools are used to reproduce or trace experiments, analyze experiment results, and collaborate with other practitioners. Popular tools are, for instance, , DVC, or MLFlow. These tools allow users to track or log artifacts when performing experiment runs. Completing the survey takes approximately 10 minutes for each ML practitioner.

Here is a summary of the kind of work you will be tasked with: 1. Machine Learning a. Build an ongoing understanding of current state-of-the-art NLU architectures, methods, and processes, and innovate networks that create actionable intelligence from text. b. Understand different media types (images, audio, video, etc.) and build networks that extract information and meaning from these media. c. Create networks that curate (and/or generate) media (text today, everything else tomorrow). Understand the problems that go into building these networks and innovate solutions to mitigate these problems. d. Understand patterns in time-series (and other) data, and create networks that evolve as these patterns do, using SOTA reinforcement learning techniques, Bayesian networks, and other methods. e. ...

This is a small project, I have a couple of videos to test using a datasets which I'm not very familiar, each video is about 1-7 min long, I need your help with running these video in this datasets and screen recording the running process. here is the datasets: here's the paper about this datasets:

I need the Deep learning Coder...... for multiple jobs. Details will be discussed.

I have to build an energy system model using python programming and PyPSA it is a python for power system analysis toolbox. Here is the PyPSA documentation - I will also share the base model from which we can take reference to build the model

Clustering observations based on K means- R studio

I am new to Mlops and data science area, need someone who experts in this area and help me to understand and explain, build Mlops tools and some capstone project.

See this website: I would like someone to help me set up a similar workflow on my computer. You will remote in to my PC and show me how to run the code and successfully extract text from PDF files.

I need face dataset from CCTV on 100k subject face dataset should be none-open dataset and get from cctv. And dataset should be collected from 100K people and have more that 15 images on every people start to place a bid with "##"

Request proposals from Map based Web Portal / Mobile App developers preferably from Chennai. The project targets at development of a Web Portal/Mobile App through which the digital data acquired through drones can be immediately uploaded to the platform that can be always accessed on any handheld cross platform (Windows/Android) system through a web browser to be developed. The project aims at development of: 1. A Map based portal/app to view transport route as vector maps, images overlapped and google street map satellite imagery layer as a background. 2. Add features like stoppings, junctions, bridges etc. 3. Visualize the above features in images 4. Provision to inspect images and add comments in the portal. 5. Multiple user access and submit jobs. 6. Dashboard to visualise progress, t...

Need someone who can wwrite program for given case and also need to write reflection based on the performance done for programming.

Fertigstellung eines kleinen Projekts - Bildverabeitung, Scribble-basierte Segmentierung von Bildern und maschinelles Lernen, Poisson Image Inpaing, Fehler abfangen Image processing, Scribble-based image segmentation and machine learning, Poisson image inpaing, error catching

I have a video need to test if there're any manipulation made using FaceForensics++,video is about 6 min long, you are required to provide screen recording of the WHOLE running process (from you get access of the video to process the video if necessary, to upload the video into the datasets to get the results). Thank you

Need help on Python project for retention policy on JFrog Artifactory

Need urgent help with a small project about breast cancer prediction using the weka tool.

We have an amazing intern opportunity at a fast-growing start up, it would require Machine Learning skills to create a pre-trained model

There is a code written in TensorFlow 1 for developing a deep learning model. I want to convert the code to TensorFlow 2. The new code should: 1. Train the model as fast as the original code (This is the crucial condition about this project) 2. Generate exactly the same quality of results as the original code (with the same dataset that is used for the original code) 3. Be like it is genuinely written in TensorFlow 2 and not only TensorFlow 2 compatible. This is the original code: At the end of the project I will assess the speed of the new code, the performance of the model training process and output of the code. Thanks!

The main task is to try to write a script to segment the cycling lane under different lighting conditions (including shadows) to use the segmented path to control the robot motor. The segmentation should be done by canny edge detection segmentation or colour segmentation. Another option would be using light CNN that can be implemented in the raspberry pi 4 to segment the lane. The script should be in python language. An example of the expected results is given below. The script should work on live streams and pre-recorded videos. An important point is to explain how the script is going to deal with conditions such as shadows and bright light. finally, explain what will be the plan or idea to control the motor based on the segmented lane. A video of the cycling lane will be sent later due ...

Omicron variant sentiment analysis using NLP technique

So as we all know, Japan has 1 vending machine for every 23 people. That means you will have tons of different combinations of drinks available. What I want to do is train some AI to recognize the drinks in photos of the vending machine (example of image in attachments). All you have to do is do the recognition part, and label them at which position they are on the drink (left to right, top to bottom, 1-20/30, etc). So item 1 would be the first one in the top left, you can call it "Drink A" and I'll update the label later with the correct Japanese language/English. I prefer this to be built in Python, since it will be used on a website's framework