Open Source tools are an excellent choice for getting started with Machine learning. This article covers some of the top ML frameworks and tools.
Machine Learning is a scientific discipline which focuses on automatically recognizing complex patterns and making intelligent decisions based on available data. This branch of study develops algorithms for computers to evolve behaviors for the same. If your business needs help with machine learning algorithms, you have come to the right place. You can hire expert freelancers with machine learning experience right here. Simply post your job today!Punësoni Machine Learning Experts
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
Hello Freelancers Don't bid if you have experiences in CPLEXsovler and python Using CPLEPXsolver and python, need to implement a column generation method. Already have all requirements and the master plus price subproblems equations . I am looking for an expert in optimization problems All what I need is to implement it and solve the problem plus get some results Also I have two small benchmark algorithms to implement in python It can be long-term project and get much more jobs. Thanks
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. ...
Hello Dear Freelancers I have two mirror benchmark algorithms to implement in python Looking for expert who have ever used CPLEXsolver and python to need to implement a column generation method. Don't waste time if you are not expert about it And if you are, include "Python Expert" in the first row of your bid. Thanks
Hello Dear Freelancers All what I need is to implement it and solve the problem plus get some results I have two mirror benchmark algorithms to implement in python Looking for expert who have ever used CPLEXsolver and python to need to implement a column generation method. Don't waste time if you are not expert about it And if you are, include "Python Expert" in the first row of your bid. Thanks
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 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
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.
HI. I have python voice filtration library. and now need to integrate it to Unity for android system. I will send all files. A long-term project is ready. Recommend it under the condition that it can be finished within 2~3 days at most. Write "Expert Here" at the beginning Or ignore it.
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...
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
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 ...
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
Need your expert help for the following challenge I have a Data digitisation project in hand in which we need to extract data from pre filled forms ( hindi handwritten) and populate in our data entry software Even if we can extract ( Hindi ICR ) from these forms and put in CSV format - my team can manage to transport the same to the data entry software. Google docs is very good with Hindi ICR ( Intelligent Character recognition) We need you to create boundary for data extraction from the form for all required fields then extract the data and then provide the same in CSV format Second optional activity is to then pick the data from the cvs and autopopulate in the data entry software Currently we are manually doing data entry in the data entry software which is extremely slow and pro...
FinRL is an open-source framework to help practitioners establish the development pipeline of trading strategies based on deep reinforcement learning (DRL).
Using spaCy extract the suggested Product Names in a sentence with the product description, and use statistics to assign the value with highest confidence level MUST HAVE experience at least with: spaCy, NLP, statistical analysis, ML
I am starting out in data science and machine learning be I have a few questions that will help me progress in my own projects. I want to develop model that recognises certain stock chart patterns like a triangle, bullish/bearish flag etc. What I am looking for at the moment is not someone who will deliver a complete project but I need consultancy where people can answer some of the questions I have that is why I want to pay hourly. What I am struggling with at the moment is preparing the complete dataset for machine learning. I have a collection of many samples of the chart pattern (some are attached) But I don’t know how to compile the master dataset with a large set of stocks each having a varying amount of time periods showing open, high , low, close and volume. To make sure ...
make deep neural network for regression supervised problem
We are a new interdisciplinary studio that thinks in threes: Live Action, Mixed-Media, and Animation. We are still pre-launch (website still being developed.) We're looking for someone to help develop an AI from the ground up for qualitative analysis of videos to help inform our creative strategies before we head into a production. The duration of this position is as needed with the possibility of a full time position down the line. If you are looking for an opportunity to join an exciting new venture at the ground level, please apply today! Responsibilities: - Individual must have existing competencies in AI/ML - Have the analytical capabilities of a data scientist, and understand the latest developments in AI/ML. -Will be responsible for designing and developing AI models - Conve...
Hello, I want to implement a major pipeline. I would like this to be implemented. I have also attached the paper of this implementation. I would to have Audio (from laptop microphone) to a text to speech program (any good text to speech program will do) and then to the meshtalk in REAL TIME (I want to talk into my microphone and have a model blue man like in the paper emulate it in real time). I would like that to be implemented, and I would also like the same thing implemented but using an automatic speech recognition software, so this would be audio (from laptop microphone) to text to speech to automatic speech recognition program to meshtalk in real time or vice versa, and I would like to see this implemented. I would like to know step-by-step how to do it (on your end, what I need to ...
This assignment covers linear regression and logistic regression using disciminative meth- ods. 1 The Iris Dataset The Iris flower data set () was orga- nized by Ronald Fisher in 1936. It is a commonly used dataset for introductory machine learning concepts. You will use this dataset for use with a classification AND regression task. 1.1 Preparing the Data To begin, load the data using scikit-learn. As we saw during class, the setosa samples are very clearly linearly separable given any combination of two features. However, the versicolor and virginica usually have some overlap. In order to verify the models that you will create in the following two sections, you will need to take some portion of the dataset and reserve it for testing. Randomly select 10% of the dataset, ensuring an eve...
I have started some code for tensor flow and need someone with experience to make some changes so it can run properly. Includes testing the model and then more to be built. Quick job initially.
Overview: I need one web-based app where a user can input their own text, the software then automatically generates: a summary of that text a mind-map of the text a limerick or short poem/rhyme based on the text a set of multiple choice questions based on the text Code, Github and approaches that could possibly help with each task: Text summariser: 2. Mindmap generator: 3. Limerick generator: 4. Multiple choice quiz generator: The User Interface and Outputted text/files do not have to look that good – as this is for a proof of concept to try to win funding to develop the concept further.
I need an AI Powered Insurance App that gets me points and better insurance premiums based on what I eat, how I drive, gym activities, my current buying styles etc. It must pull all these activities from my social media handles and profile me correctly. Based on this information then a link would be send to all top insurance companies in the country, see hippo dot co dot za
The «Ukraine Conflict Twitter» dataset is published on Kaggle with attribution required. The detector must consider as baskets the strings contained in the text column of the CSV files in the dataset, using words as items. Important: the techniques used in order to analyze data have to scale up to larger datasets.
I need who has skills with respect to python, data engineering, exploratory data analysis, data pipeline, Data scientist, create an ML pipeline to support CI/CD of ML development.