Cs231 pytorch işler

Please follow the instructions of public Github code. We have tested it according pip instruction, but still cannot run. Provided me the full instructions after your debugging and successfully Train and test data.

THIS PROJECT NEEDS TO BE COMPLETED WITHIN 10 DAYS I am looking for an expert in deeplearning with a PhD to assist me in a deeplearning project using Pytorch.

I am a post-graduation student studying data analytics. I require two algorithms to be implemented and the compare both of them in the Pytorch (machine learning library) Need this to be done by 18th December.

Hi, We need to use following public code on Github. We don't have time to debug. The aim is to make this code running local machine. What I need it detailed instructions of environment set-up for successfully running the code. Thanks!

Image classifier project with using pytorch vision.

Building semantic segmentation based building in Python using CNN. No libraries allowed (Tensorflow, Keras, Pytorch, etc). Need to finished in 1 day for deadline course. Datasets are aerial imagery.

I need a working Docker image for deploying a Pytorch project. The image need to work on AWS Elastic Beanstalk running on a instance and need to access correctly the GPU.

Creative Mind Related Degree is not required Functional programming with Python, Scala or LISP. Apply AI/Machine Learning technology to solve real-world problems. Machine Learning and Artificial Intelligence (AI) techniq...techniques and tools such as neural networks, regression, classification and clustering. Manipulate high-volume, high-dimensional data from varying sources to highlight patterns, anomalies, relationships and trends. experience with SQL, Spark, or Hadoop. Develop prototypes to help with future exploration. Experience with machine learning and/or deep learning methods. Experience with Sklearn/Tensorflow/PyTorch is plus. Experience in Web services and REST APIs is a plus. Solution Deployment. Modern Modeling. Your familiarity with different analytical areas of expert...

Need someone experienced with pytorch for some coding

Given an image , Localize as many objects are there in it using any of the Python framework.. pytorch / tensorflow. Dataset will be provided.

You have to create simple Neural Network Classıfıer usıng UGR16 dataset whıch is publicly available. There are also similiar codes on the Internet. you should use python langıage and pytorch for library

I have 50 skills that need Short SEO Headers. Example skill: JavaScript Short SEO Header: The right JavaScript professional can take your website design to new levels. Example skill: Wix Short SEO Header: Hiring a Wix professional can bring a new level of exposure to your business. Just one sentence. Context is the advantage of hiring a professional for that certain skill. Jenkins Keras Pytorch Firmware Visual Merchandising Mobile App Testing Video Production Landscape Design Online Writing Financial Analysis Drafting Package Design User Experience Design Moving Swift Autodesk Inventor Tattoo Design Call Center FPGA Handyman Microsoft SQL Server Digital Marketing Wikipedia Zbrush Carpentry Book Artist Procurement Database Development Raspberry Pi Wix VB.NET Sketching Email Dev...

Need an AI expert to use Tensorflow or Keras or Pytorch and OpenCV to develop a program that capture video images and use those to train so that the AI program can be use to detect objects from a let say usb video camera Flexible with using additional helper (CNN, SVM, RCNN)

Hi I am looking for some one with Neural Network experience using Jupytor Python Pytorch Three set data will be provided - Training, Test & validation. Load and preprocess the image dataset Train the image classifier on your dataset Use the trained classifier to predict image content Thanks Nathan

I am a data-science enthusiast, I would love to understand research papers. What I want is to get the code for "Transfer learning for text classification" (Do,Ng NIPS 2005) since it makes easier to understand the paper. Basically, I would like to have an implementation on Python (If any machine learning or deep learning framework needed it should be pytorch or scikit-learn). In the scope of this job, the table-1 in the article, should be replicated completely so that I am going to be sure that it is the correct implementation. paper link: ~ang/papers/

Hey , so I need to transform this nn : to ONNX format in order to train and test it in the cntk environment I prefer that before the transformation we would use the built-in LSTM module in pytorch.

For a given 2 folders with images of different size, make a simple to read deep learning model using tensorflow or pytorch to classify images into one of those two classes. The task should be done using jupiter notebok Data can be found at The solution should work even if file names are replaced and more files added. The solution should use of at least one convolutional layer. Remember this is a very short project, and it should be a short programming code and easy to read.

I want you to write a one-paragraph description for each of the listed skills: Jenkins Keras Pytorch Firmware Visual Merchandising Mobile App Testing Video Production Landscape Design Online Writing Financial Analysis Drafting Package Design User Experience Design Moving Swift Autodesk Inventor Tattoo Design Call Center FPGA Handyman Microsoft SQL Server Digital Marketing Wikipedia Zbrush Carpentry Book Artist Procurement Database Development Raspberry Pi Wix VB.NET Sketching Email Developer Network Administration Excel Macros Email Handling Filmmaking 3D Model Maker VMware PEGA PRPC Business Writing General Labor Plumbing Geographical Information System (GIS) PPC Marketing Full Stack Development Journalist SEO Writing Furniture Assembly Risk Management Each d...

You need to create a Flask website. I will give you the HTML,CSS etc. There is a csv file which contains three fields- name of the blog, link and five sentence summary. Now in the home page of the website, provide a drop down, the user selects and blog , display its link and summary. In the backend, take the summary text and run the pretrained model. Obtained the predicted text. And display on the Web home page.

I need to implement SE-ResNet CNN for classification of given image into stego or Cover class. should train 30-40000 images and test atleast 10000 images. Preferable implementation frame work is Pytorch/ Caffe. for any further clarification feel free to contact me

I have an unfinished project on grading of eye images. Currently developed in python using pytorch framework. I need to fine tune the AI engine ,so that the model will be fully trained and port the model as a local application that can run on a notebook.

need to make a model for question answering generation using deep learning , tensorflow , pytorch,wikipedia data for data training, only experienced freelancers will be considered for work , you need to show your related experience in past like stuff in proposal .

Design a python GUI to an exciting code. The code is in python 3.6, it include pytorch and plotting.

I am now studying deep learning via Udacity, by using pytorch. can someone guide me to finish this project:

...production Please include any information about your hobby programming projects into your CV. In time you will act as the right hand of the CTO. We are interested to intensify our collaboration with excellent talent over time. WHAT WE’RE LOOKING FOR: AI part Experience in Python (Tensorflow, PyTorch, Keras) is obligatory. You must be familiar with CNN, LSTM (RNN), C-GAN and the applications of transfer learning, one shoot learning. Skills Python - Tensorflow - Keras - PyTorch Data Science part Experience in data processing (cleaning and visualization) is obligatory. You must be able to do this either in Python or in R. Skills Python - R - pandas - numpy WebDev part: Basic experience in Django (backend) and Angular2+ (frontend). Sometimes ...

Hi. I've notised that you've been working with computer visjon. Hope that you are interested in my project below. I want a finished raspberry pi image with nessesary dependensies (pytorch, numpy etc) and custom trained tensorflow algoritm to detect different gass bottles (6-8 different types). And two different bottle head/connection It should also contain python code to grab image from rpi Camera, and run the detection algoritme to detect the different gass bottles from the cameraimage (livestream is not neaded). Worker to be done: * Setup rpi and install nessesary dependancy (pytorch, numpy, opencv and otter neaded librarys) * Train tesorflow algorithm for 6-8 types gass bottles. * Train for two different bottle connection. * make a python script (with comments)...

Implement a Bayesian linear regressor on PyTorch. Apply a normal prior on regressor weights with zero mean and a predetermined variance identical for all dimensions (isotropic covariance). Implement all algebraic equations required for calculating the posterior distribution explicitly (e.g. using function, and such). You are not allowed to use any service from the library. Test your model on the Boston Housing data set. Use a randomly chosen 90% of the instances for training and the remaining 10% for testing. Repeat this operation 10 times and print out the average root mean square error (RMSE). Submit a Python source code that implements both Bayesian linear regression and the testing scheme described above. The code should only print out the average RMSE to the console

looking for an expert in deep learning neural network, machine learning and python, who is knowledgeable in alexnet, ResNet architecture and caffe, training the network and extracting key features and who also has solid background in SVM, image processing, face detection and recognition. - must be capable of training and fine tuning cnn (Alexnet) neural network, extracting features for further training must be capable of training svm classifier with features extracted from the pre-trained caffemodel or a given dataset ? - must be capable of not only replace and retrain the classifier on top of the ConvNet on the new dataset, but to also fine-tune the weights of the pretrained network by continuing the backpropagation. It is possible to fine-tune all the layers of the ConvNet, o...

...script seems to be the easiest way to process the images with my knowledge but would be open to pure python script or another method. Would ideally like to have program learn and adjust output of language and image based on its own corpus/history as well as others. I have a working poetry generator written, but would be happy to discuss other methods of generation that exceed my ability to create (pytorch, tensorflow) etc. I'm flexible with this project in terms of implementation, but have a few requirements: - bulk of project should be coded and/or implemented in python (either 2.7 or 3.6 is fine) - needs to run in background on Linux (executed/reset with crontab), program will only be run once or twice daily. -pretty much everything else is open to change in order ...

python install Brisbane Australia and assist with anaconda pytorch tensor flow.

to translate from one source language to another target language using attention combine the context vector of global attention and local attention

Implement a variable-length recurrent neural net RNN in Pytorch 1. Make this PyTorch repo read in the 20 bAbI tasks, with 3 text inputs. Enable multiple tasks to be loaded at the same time into one dataset. 2. Make the RNNs accept variable-length via this: 3. Make improvements to code to enable mastery of at least 18 tasks > 99% validation accuracy.

Implement text detection (NOT recognition, just the detection + bounding boxes) as outlined in this paper: ~vgg/publications/2016/Jaderberg16/ The paper uses CNNs to detect text and afterwards read it. We need the text to be detected so it can be then read through a phone. Frameworks used are Torch or Pytorch.

Implement the equations and the algorithm described in the attached paper using Python(2.7/3.4/3.5/3.6). Requires Machine Learning knowledge particularly Neural Networks. The code should be well commented. Use of opensource Machine learning/deep learning libraries is allowed. (PyTorch or Tensorflow). Use of other opensource implementations in parts/whole is allowed with proper citations. A successful submission will include: a. Implementation of the complete algorithm described in section 2.4 of the paper including TTH. b. Implementation of the test scripts to evaluate the developed algorithm. The test is also described in the paper under section 3. c. Code to generate the comparison graphs in section 3.3 to evaluate the test results (b). NOTE: The developed code cannot b...