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    1,256 pytorch gan jobs found, pricing in AUD

    I need to run a liveness detection code on my computer. I will give you access to my computer. You will need to access my computer and fix the bug. I think it has something to do with Pytorch version. Thanks.

    $29 / hr (Avg Bid)
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    I have two codes that need results comparison , must know pytorch, c++, CNN

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    pytorch expert -- 2 3 days left
    VERIFIED

    looking for pytorch expert for my app more detail on chat

    $10 - $30
    Sealed
    $10 - $30
    4 bids

    I need help to Generate captions for images using pytorch. I will give more detail in chat.

    $98 (Avg Bid)
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    I need to Generate captions for images using pytorch. I will provide the details in the chat.

    $140 - $142 / hr
    $140 - $142 / hr
    0 bids

    I am a machine learning engineer and I need to with the following: Task: Classify pills Challenge: All my models tend to over fit. What needs to be done: 1. Build a model in PyTorch that can reliably classify the pills without over fitting 2. Explain why your model architecture performs well Success criteria: - The model needs to score %95+ on an unseen test images What will I provide? - The data-set of pills images and the augmentation logic I used. You are free to use any augmentation logic you want. Limitations? - No limitations as long as (1) you use PyTorch, (2) you can explain why your code works and (3) your model scores %95+ accuracy on unseen data that I have

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    Chatbot using python you can use TensorFlow and keras not Pytorch. I only need python file also code should not have any plagiarism and able to chat. PYTHON and use Reinforcement Learning

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    Hello, I have a simple pytorch code and I need the following : - I need this code to be executed on the cpu and not the gpu to classify two categories of images instead of 6 categories by using pycharm. - Simplify the code further. - summarizing the network. - draw (plot) the artificial neural network. - display training epoches. - write a full report explaining the entire project with a step-by-step by reinforcement with pictures of the implementation process.

    $62 (Avg Bid)
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    pytorch expert 12 hours left
    VERIFIED

    looking for pytorch expert for my app more detail on chat

    $10 - $30
    Sealed
    $10 - $30
    3 bids

    Hello, I have a simple pytorch code and I need the following : - I need this code to be executed on the cpu and not the gpu to classify two categories of images instead of 6 categories by using pycharm. - Simplify the code further. - summarizing the network. - draw (plot) the artificial neural network. - display training epoches. - write a full report explaining the entire project with a step-by-step by reinforcement with pictures of the implementation process.

    $37 (Avg Bid)
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    hi, I need GAN expert who can build a GAN model for further requirements please bid

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    I am working on a multiply image super resolution project and I already have the deep learning model code, but I need the following metrics (MSE, SSIM, PSNR) to be outputted. Colab notebook and data are all on google drive. Note: Model is in python using pytorch

    $271 (Avg Bid)
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    I have a PyTorch code and a C++ code that both do CNN, I would like to compare the accuracy and results. MUST know CNN

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    I am working on a new deep learning project with a special model and loss function. But I am not familiar with pytorch. The Details of implementation in pytorch are to difficult and time consuming for me. The project is hosted on gitHub: I need the code in at least two versions or three. First version runs only and completely with a CPU. The second version runs with a single GPU via CUDA (from nvidia). (and ) An optional third version runs distributed on multiple machines with multiple gpu's. (with ) This does not work currently. I can't get a version that runs completely on the CPU because I always get the error: "RuntimeError: Expected all tensors to be on the same device,

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    All the codes are already there for crossentropy loss and softmax function. Only need to change softmax to sigmoid and crossentropy to binary crossentropy. All the details are there in the code.

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    I'm an artist and researcher who works in the intersection area between art, science and technology. I want to use a data set of approx. 8000 images to generate images with GAN. I have already got the machine learning model which has been tested on PyTorch. I'm looking for someone who can help me to deploy this model via PyTorch with cloud computing. Please get in touch with me if you are interested! Thank you! 1. I want to deploy it again via cloud computing; 2. I'll have to witness the whole process for research purposes. I hope the expert can share the screen during working, and also explain the process while working, so English speaker preferred; 3. As I'll have to run it by myself during exhibitions. I hope the expert can let me know how to r...

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    HI there, If you have appility to perform this task with me : I need to build GAN project.. it is input is : ? masked face ( medical mask) image and the out put should be full face image ? without mask .. i need it to be accurate because then we need to do face recognition based on the full face image .. Important notice : 1- the code will be based on research paper .. 2- I want to use the code on Pycharm platform not google colabs .. 3- i need the code to be done using tensorflow not pytorch .. 4- i need to get accuracy of the result and plot a graph for training and testing I am using many datasets but for you i will ask for only CASIA_WebFace dataset for training and testing .. Also, LFW for Validation

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    Yolo5 pytorch all objects with as small as possible BB

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    I simply want to review an extensive code that I wrote for pytorch.

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    I have completed a code that works with NEAT algorythm and it work well, but since the data is very large to process, it requires a lot of time before each generation will complete. SInce the NEAT algo is working without using the GPU and there is no way to be implemented , i would like to use the GPU in order to speed up the process. It will be a RL problem so it can be done with Tensorflow, Pytorch, Theano. I already used the multiprocess so i can use all the cores of the processors but it still slow.

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    Hi Metin A., Can you design a LLC SMPS with GaN Transistors, less then 20uV noise, 1600 Watts, voltages +/- 90V, +/- 15V, and +5V and +3.3V. If you think this is doable I will give you more specs. This is to design it, build and verify operation and specifications. Price to be determined.

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    I need an expert in computer vision, who can help me in identifying a very basic problem. I am trying to run a Semantic Segmentation code from github on a docker. The code uses pytorch. However, the results after training are not accurate. Need someone with good experience to find the cause of problem. The code is 100% correct. The issue lies in the environment setup.

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    Looking for Python expert to convert Python script to or installer so that non-Python non-technical users can use it easily. You should be proficient with AI GAN, ML. If you can do this, please contact me.

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    Study python code of OpenPose inference package, analyze the model, run the re-run the code after changing some parameters and write a report

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    This is for experienced ML engineer for model inference in IOS app. Any simple pytorch model could be used.

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    Hello everyone, I am looking for a deep learning engineer expert who can help build a model with 85 to 88% accuracy in classifying breed of animals. Message me for further details. Pytorch module will be used. Having a GPU is an added advantage.

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    I've a deep learning based model trained in pytorch framework and I need to convert it into iOS simple demo application. Please write me message, then I can give you more details.

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    Please only place a bid if you have experience using python, machine learning, pytorch and tensorflow

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    i need to convert the model in the below github repository from .pth file to .tflite to be able to deploy the model on android devices

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    Please only place a bid if you’re confident using pytorch in yolov5, tensorflow and python.

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    implementing rest api for our pytorch transformers ai model. We have decided to use Pytorch Serve. The inputs will be json and outputs will be text. There might be need to make some helper files for handle file in order to manipulate inputs to the correct format. Deliverables We need help implementing Pytorch Torchserve for our Pytorch Transformers Model. The handle need to be created to allow posting inputs using rest api in json format and output should be the prediction of our model. Also classification code need to be coded in order to allow the inputs to be in specific format, but our current model has already examples from where the developer can start. The code is using docker.

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    I need someone to assist me in project works related to deep learning/GAN

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    Label 1300 picture Yolov5 Pytorch

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    I need a custom pooling layer which must work in ANY model. The calculation part should be easily customizable. Back and forward propagation should be implemented. config and size of input and output should be calculated automatically as if you are requested to implement exactly MaxPooling2D. budget is $18. 24-48 hours

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    Hello i am looking for some one who can work for me immediately and person must know AWS and pytorch

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    Need to develop a model based on generative adversarial network (GAN) to perform regression analysis of LIBS spectroscopic data. The spectra obtained for metal samples are to be used to find out their composition.

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    Need a professional programmer to create a model with dataset from github (google landmarks to train) and simulate as well.

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    1. Setup a linux system for a Deep Learning application 2. Train a given dataset under given frameworks [MS COCO, U Net, TF/Keras, Pytorch] 3. Communicate with the team and mutually identify improvements to the model

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    hire Yusuf for this project. I need to develop deep learning module using Pytorch-TN3

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    Need to develop deep learning module using Pytorch it is based on paper, but not opened source code, So, we need to implement that based on paper

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    TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, Numpy

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    Hi Ievgen G., I am looking for a freelancer to help me model some data with a GAN. the data is quite simple, it consists of 22 points (x, y) that represent a shape. I am trying to create a GAN to model this data. If you are interested, ping me and we can continue the discussion. Thanks!

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    Hello, I am looking to build a simple GAN network, you can visit the github code here () The code in github uses mnist data but I want to replace it with my own mini images. The raw images I have are of size 208 x 208 px but the mnist data is of size 28 x 28 px. I downsized the image from 208 x 208 px but it's not giving me results. What you're asked to do is to provide me guidance (how to make this work? can it ever work with this simple GAN?) I know coding and I do not need help with that, so only bid if you have good knowledge in machine learning and can help me with these tricky questions. I will ask you a few questions to see if you can help me before accepting any bid. More projects will be given

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    Looking for AI consultant/writer to research and prepare Powerpoint presentation for an AI GAN (Generative Adversarial Network) software Requirements: -preferably Masters in technology or AI. -work experience in tech industry -proficient with GAN and AI ideas/concepts -must be native English writer -possess excellent analytical, research and writing skills -consistently produce and deliver high quality work If you fulfill requirements above, please send: (a) CV (b) example of Powerpoint presentation you have prepared (c) best lowest price quote for 15 page (1000 words) Powerpoint presentation

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    We have two deep learnings models that have already been created in PyTorch: 1. One multitasking feed forward model 2. One feed forward model with one task head I need you to: 1. Tune the hyperparameters of these models with a Bayesian approach 2. Demonstrate the performance of this model without PCA (currently PCA is used) through confusion matrix, training times, training validation loss and also AUC ROC for the classifiers 3. Use a feature reduction model that preserves feature importance unlike PCA and assess its performance 4. Compare its performance against classical ML approaches including: extra tree, KNN, random forest, SGD classifier and SVM, generating the same output metrics of performance

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    ...codes? -Application of pre-trained model -Development of enhanced CNN -Explanation on training set and testing set -How you have trained the model and solve the issues of overfitting -There are very little difference between different abnormalities. How you cater for that? -What are the parameters that influence the performance -Detailed description on performance and evaluation -In medical field, GAN is being used instead of data augmentation -What you do in case of many unlabeled data? Reference No.1 for Transfer Learning model: Tutorial: watch from 33:15 to 43:15 Github code: Reference No.2 for Transfer Learning model: Github code:

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    We have two deep learnings models that have already been created in PyTorch: 1. One multitasking feed forward model 2. One feed forward model with one task head I need you to: 1. Tune the hyperparameters of these models with a Bayesian approach 2. Demonstrate the performance of this model without PCA (currently PCA is used) through confusion matrix, training times, training validation loss and also AUC ROC for the classifiers 3. Use a feature reduction model that preserves feature importance unlike PCA and assess its performance 4. Compare its performance against classical ML approaches including: extra tree, KNN, random forest, SGD classifier and SVM, generating the same output metrics of performance

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    We have two deep learnings models that have already been created in PyTorch: 1. One multitasking feed forward model 2. One feed forward model with one task head I need you to: 1. Tune the hyperparameters of these models with a Bayesian approach 2. Demonstrate the performance of this model without PCA (currently PCA is used) through confusion matrix, training times, training validation loss and also AUC ROC for the classifiers 3. Use a feature reduction model that preserves feature importance unlike PCA and assess its performance 4. Compare its performance against classical ML approaches including: extra tree, KNN, random forest, SGD classifier and SVM, generating the same output metrics of performance

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    In your Bid please mention the Monthly salary that you would like to get for full-time per month. We're seeking someone who: • Has minimum 5 years of ...(Engineering, Computer Science, Statistics, Applied Math) • Is always willing to learn and apply new techniques where appropriate • Distributed computing platforms, such as Hadoop (Hive, HBase, Pig), Spark, GraphLab • Databases (traditional and noSQL) • Bonus Points if you have: • Experience with a mass-market consumer-facing product • Familiarity with auto-differentiation libraries (e.g., TensorFlow, PyTorch, etc.) • Proficiency with the pydata stack (NumPy, scipy, pandas) • Familiarity with scheduling and orchestration tools (e.g., Airflow, Metaflow, etc.) • Familiarity with...

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