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Looking for a person with bioinformatics experience for help with a project: Must have experience with python coding, machine learning, deep learning models, creating or running deep learning models on DNA sequence data for classification. We have code already that will be shared, the code has some issues. The testing and training does not run properly. The code has many deprecated blocks that we were unable to update. The project is run on tensforflow. Therefore, looking for person with expert knowledge and experience with tensor flow models for deep learning using DNA sequence data.
Hi ,Thank you very Much for Reading , In need of searching reinforcement learning expert , Have you any experience on network simulators especially OMNeT++? I have a project which is done on OMNeT++ about HetNet Now I want to extend it with reinforcement learning.
Dears, I have matlab code, which used pretrained model to classify images. I used cross validation as well as other functions. The code is very very slow although there is no training and finetuning. the current code pass the image to pretrained model and predict the values without any training process. I need some one to trace the code and re-write it in the way that optimize the time keep in the consideration the current logic of the code should be not changed. I need this to be done in 1 day my budget is 25 $ Thanks.
I Need a Django developer to make some changes to the existing project. I want the movie recommendation algorithm to be changed to matrix factorisation instead of pearson in the existing project. The project is built using the Django framework
%97_Transformers.ipynb#scrollTo=LBSYoWbi-45k This script can be used for Turkish, but a few changes and visualizations here would be better and model output and script should be able to upload my drive. facebook/wav2vec2-large-xlsr-53 will be pre-trained model. • Mozilla Common Voice dataset should be used to train the models • The models must be trained using wav2vec2 architecture 2 pre-trained models are enough to train: o wav2vec2-xlsr-53 () o wav2vec2-xls-r-300m () 3) Please pay extra attention to this subsection: You should follow this script: Inside this script, database installation and model trainings are given in detailed way. Inside script, database is installed in this part: 3.1) Here instead of “common_voice” dataset you should write “mozill...
Need to develop an algorithm to estimate cortical thickness map from a raw T1-weighted image. Cortical thickness map is the thickness of the gray matter of the brain at every point
The project is simple yet can be tricky. 1. I will supply you with 50+ images for each of 4 objects from various angles 2. You should gather the images for an 2 extra comparable objects in your vicinity (choice of objects is a subject of an approval by me) as a secondary test and to help you debug 3. you need to select any of the existing machine learning models and re-train it so that the objects can be reliably detected 4. put together a super simple mobile app which detects the newly added objects in live camera view 5. write a simple 1 page document summarizing your approach or jump on a recorded video call to capture your process if you achieve in 4/6 objects recognized (in daytime conditions) and deliver the report of your approach, you get paid the full contract and might also e...
Hello everyone. I need help for Adversarial Search implementation with different AI algorithms. Will discuss more details with jupyter files with best candidates. Thanks.
Hi.. I'm doing a DL based project, so I need a person who has strong knowledge in DL to perform some Image Annotation works. Any one enthusiastic in doing AI can bid... For more informations I will ping you. Thank you
We are looking for an experienced mobile AI developer to implement on-device real-time liveness verification. The outcome will be a mobile app that is able to differentiate between a real person and a printed photo or pre-recorded video. The app shouldn't utilize third-party commercial SDK (google/apple built-in and/or open-source stacks are fine). The app can be native or hybrid and support both iOS and Android. Please apply if you have done similar work. We will need to test your prior work to confirm you are suitable candidate
I need to build a Text-to-speech (speech synthesis) system using Festival framework through unit selection TTS approach or diaphine concatenation approach. I have a dataset of 6 hours of recordings that’s segmented to 0-10 seconds length, and a separate library for diaphone units. Attached is a document that can be used as a reference to implement this system. In addition to the system a detailed report should be provided that includes (introduction, methodology, how it was implemented, results and testing the results, conclusion)
Full stack developer with knowledge in AI and GPT-3
Dears, I have code using pre-trained CNN models, the code works fine with no issue in Resnet18, resnet 50 and ResNet-101 However, I need to apply ResNet-152 to the code, but I face error as it is not exist directly in matlab. my budget to fixing this error is 10 $ Platform = matlab 2020 Thanks.
I have a data containing score of many players match-wise including other independent factors which will be using into the model to predict. Need to apply a simple ML model to predict the score for the next match for players. Data to be shared to the winner.
Hello! I tried to find out if a deep artificial neural networks is able to "understand" the rules of a chess game. So I built such a network and feed it with a chessboard piece assignment as the input and provided the "labeled" data in form of another chessboard piece assignment which is very similar to the input data but which contains a regular following move to the piece assignment of the input data. Example: When the chess game starts the row in the first csv (input) is r,n,b,q,k,b,n,r,p,p,p,p,p,p,p,p,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,P,P,P,P,P,P,P,P,R,N,B,Q,K,B,N,R value description: empty field: 0 white queen: Q white rook: R white king: K white prawen: P white bishop: B white knight: N black queen: q black rook: r blac...
Looking for an AI researcher with around 1-5 hourly workload weekly. Your job would be somewhat non-traditional in a sense, that all which is required of you - is to find/identify relevant, good quality research on topics of my choice. So in essence your job would be find latest papers, googling relevant information and github repos for topics of my choice (Topics would change from week to week) At times you will also be required very loosely explain/summarise paper in few minute web calls. Mostly they would be ai, ML, deep learning related. But sometimes we could delve into other fields. You should take pride in how resourceful you are with google/various search engines/platforms. NB! When applying please do include why you are great fit for this position and relevant experience....
Looking for someone who has extensive experience with recommender systems. Ideally working on similar projects for any of the big companies or a very good theoretical research focus on cutting edge/up to date methodology currently. Call would be mostly for brainstorming, guiding and theoretical work of nature. But you should have actual hands-on-experience also.
Need Google Satellite image vectorized for a specific area in Shape File Format. Google Satellite image to be used as base and small parcel based on the image interpretation to be captured as polygon. Sample images uploaded first is for Input second is the desired output. GIS knowledge is must for this job.
I looking for Deep learning developer have more experiences in building face Recognition framework for NIST FRVT 1:1 Test challange. Regards
I built LSTM model to classify tweets and I used the Randomsearch hyperparameter optimization, I need some whit good knowledge of the Field to optimize my LSTM model using Whale Optimisation Algorithm (WOA).
deep learning, artificial intelligence to recognise voice from 30 seconds of audio and regenerate the same voice, same accent, same pitch and same audio quality to fit into statements in existing audio files. 2 voice samples will be provided. written text must be converted into perfectly same voice and save the file.