Talha Anwar
Talha Anwar
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5 Steps to Install PyTorch 2.0 and Tensorflow 2.12 on Ubuntu 22.04 with CUDA and cuDNN
In this tutorial we will learn how to install PyTorch 2.0 and Tensorflow 2.12 on Ubuntu 22.04 with CUDA and cuDNN.
Here is the complete written guide
talhaanwar.com/blog/pytorch-tensorflow-ubuntu
OLD video link
ua-cam.com/video/LOv1qFoglqg/v-deo.html
Переглядів: 8 023

Відео

Deploy Machine Learning Model to AWS Lambda using Docker and FastAPI
Переглядів 13 тис.Рік тому
In this tutorial we will learn how to deploy machine learning model via API to AWS lambda. We will see how to create FastAPI, and then containerize it using docker and upload to Amazon Elastic Container Registry (ECR). Code: github.com/talhaanwarch/fastapi-aws-lambda-deployment
P3 Convert NLP/ML script to EXE format using PyInstaller
Переглядів 952Рік тому
In this tutorial we will learn how to convert machine learning, natural language processing model to one EXE file using Pyinstaller
P2. Machine learning model inference for deployment
Переглядів 313Рік тому
In this tutorial we will learn, how to make inference of simple NLP model using CountVectorizer and scikit-learn.
P1. Train machine learning model for deployment
Переглядів 599Рік тому
In this tutorial we will learn, how to train simple NLP model using CountVectorizer and scikit-learn.
Single video inference | PyTorch video End2End classification Pipeline Part 7
Переглядів 2,3 тис.Рік тому
Video classification is the deep learning task of identifying what a video represents. A video classification model is trained on a videos. We have seen how to train on videos, in this tutorial we are going to see how to inference on a single video using PyTorchVIDEO framework
Pytorch Video classification tutorial 3D CNN model part 6/6
Переглядів 2,7 тис.Рік тому
This video tutorial will show you how to train a Pytorch video classification end2end 3D CNN model. You will learn how to create the dataset, how to define the model, and how to train and evaluate it.
Train PyTorch 3D CNN video classification model part 5/6
Переглядів 2,3 тис.Рік тому
This is a demonstration of how to train a 3D CNN model for video classification using the Pytorch lightning trainer.
Train Pytorch Video Classification end2end 3D CNN model part 4/6
Переглядів 2,5 тис.Рік тому
This is a demonstration of how to train a 3D CNN model for video classification using the Pytorch framework.
Define Pre-trained 3D CNN | Video Classification part3/6
Переглядів 3,2 тис.Рік тому
In this tutorial we will learn how to initialize 3D CNN using PyTorch video and PyTorch lightning
Data loader and augmentation| 3D CNN video classification (Part 2/6)
Переглядів 4,4 тис.2 роки тому
In this tutorial we will learn, how use #pytorchvideo framework for video classification. The main focus will be on how to load data and perform augmentation part 1: ua-cam.com/video/QdbzW_shsS4/v-deo.html Complete udemy course: shorturl.at/ipU69
Video classification using 3DCNN deep learning | End2End approach P1
Переглядів 10 тис.2 роки тому
In this tutorial we will learn, how use #pytorchvideo framework for video classification.
Stress Detection by Machine Learning and Wearable PPG sensors | Python Tutorial
Переглядів 1,7 тис.2 роки тому
In this tutorial we will learn how detect cognitive and mental stress using machine and python. The data used is taken via photoplethysmography sensors (PPG) which is surrogate of electrocardiogram (ECG) . Paper link: www.scientific.net/JBBBE.55.154 data and code link www.kaggle.com/datasets/chtalhaanwar/mental-stress-ppg
Epilepsy classification using Welch power spectral density (Complete EEG tutorial)
Переглядів 5 тис.2 роки тому
Epilepsy classification using Welch power spectral density (Complete EEG tutorial)
Connect domain and SSL to Django app on EC2 using Route53 and ELB | Django AWS deployment part 6
Переглядів 5 тис.2 роки тому
Connect domain and SSL to Django app on EC2 using Route53 and ELB | Django AWS deployment part 6
Deploy Django on EC2 using Docker compose and GIT | Django AWS deployment part 5
Переглядів 9 тис.2 роки тому
Deploy Django on EC2 using Docker compose and GIT | Django AWS deployment part 5
Connect Django with AWS RDS PostgreSQL | Django AWS deployment part 4
Переглядів 4,6 тис.2 роки тому
Connect Django with AWS RDS PostgreSQL | Django AWS deployment part 4
Django deployment using Nginx and docker compose | Django AWS deployment part 3
Переглядів 3,9 тис.2 роки тому
Django deployment using Nginx and docker compose | Django AWS deployment part 3
Run Django server using gunicorn on docker | Django AWS deployment part 2
Переглядів 5 тис.2 роки тому
Run Django server using gunicorn on docker | Django AWS deployment part 2
Deploy Django website on AWS EC2 server with a custom domain | Django AWS deployment part 1
Переглядів 6 тис.2 роки тому
Deploy Django website on AWS EC2 server with a custom domain | Django AWS deployment part 1
S1P4. Binary Classification (COVID vs NonCovid), PyTorch Lightning Module training (last part)
Переглядів 2922 роки тому
S1P4. Binary Classification (COVID vs NonCovid), PyTorch Lightning Module training (last part)
P3. Train a pre-trained ResNet model - EEG classification
Переглядів 4,6 тис.2 роки тому
P3. Train a pre-trained ResNet model - EEG classification
P2. Convert signal to image - EEG classification ResNet (deep learning)
Переглядів 13 тис.2 роки тому
P2. Convert signal to image - EEG classification ResNet (deep learning)
P1. Read CSV data - EEG classification ResNet (deep learning)
Переглядів 9 тис.2 роки тому
P1. Read CSV data - EEG classification ResNet (deep learning)
4.0 Read Motor Imagery EEG Signal in python (BCI Competition IV 2a)
Переглядів 11 тис.2 роки тому
4.0 Read Motor Imagery EEG Signal in python (BCI Competition IV 2a)
S1P3. Binary Classification (COVID vs NonCovid), PyTorch Lightning Module explained step by step
Переглядів 8472 роки тому
S1P3. Binary Classification (COVID vs NonCovid), PyTorch Lightning Module explained step by step
S1P2. Binary classification with augmentation and pre-trained model
Переглядів 3112 роки тому
S1P2. Binary classification with augmentation and pre-trained model
S1P1. Binary classification ( COVID classification via CT scan) using PyTorch Lightning
Переглядів 5282 роки тому
S1P1. Binary classification ( COVID classification via CT scan) using PyTorch Lightning
Intro to Medical Image Deep learning competitions using PyTorch Lightning series
Переглядів 9142 роки тому
Intro to Medical Image Deep learning competitions using PyTorch Lightning series
3.8 EEG paper ChronoNet Keras implementation
Переглядів 2,6 тис.2 роки тому
3.8 EEG paper ChronoNet Keras implementation

КОМЕНТАРІ

  • @JoseJimenez-ob2sf
    @JoseJimenez-ob2sf 21 день тому

    Thanks ! You're tutorial is very clean and to the point, very helpful

  • @gemz545x3
    @gemz545x3 21 день тому

    Also, can I have your trained model please thanks

  • @gemz545x3
    @gemz545x3 23 дні тому

    How long does it typically takes to train?

  • @Universe4mi
    @Universe4mi 25 днів тому

    Is there a place where the code can be downloaded? Github repo link please

  • @wallawAllwlla
    @wallawAllwlla Місяць тому

    Well prepared, detailed explained, and really appreciate the sharing!

  • @sciencedude4733
    @sciencedude4733 Місяць тому

    Thank you so much! Can you please provide a link to the github repo?

  • @GermanShâmaWACHE
    @GermanShâmaWACHE 2 місяці тому

    Thank you brother, this playlist is helping me a lot❤

  • @camelliajames6326
    @camelliajames6326 2 місяці тому

    Very informative. Thank you!

  • @akashk7390
    @akashk7390 2 місяці тому

    how to install and run the driver please put video based on that

  • @BalamuruganPalanisamy-o4z
    @BalamuruganPalanisamy-o4z 2 місяці тому

    Thank you very much for the detailed explanation! I have followed the same steps. But I'm getting the following error, while trying to get tf.config.list_physical_devices('GPU'): E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:274] failed call to cuInit: CUDA_ERROR_UNKNOWN: unknown error Can you please suggest some fix for this?

  • @alonsovalderramahickmann940
    @alonsovalderramahickmann940 3 місяці тому

    Hi Talha! Thanks for the video. I want to ask you what do you think about using Wavelet scattering instead of the scalogram as a signal to image converter.

  • @hemlataohal5708
    @hemlataohal5708 3 місяці тому

    Great, Thanks a lot for such wonderful video. icebreaking video for me to understand EEG preprocessing

  • @IleniaQuintero
    @IleniaQuintero 3 місяці тому

    Hello, I was looking at your video channel. We may be helping a company that uses secure images to increase supply chain security and help cloud native development. Would you be willing to help try their software, make a video, and help show devs how to use their tools? This is not an offer, but just to start a conversation about your willingness to take on sponsorship. Please provide me with your email if you are interested. You'd have a chance to look at their technology and decide if it's the type of software that you'd be interested in covering in your channel.

  • @bharath7267
    @bharath7267 3 місяці тому

    sir can u share the zip file for the project please

  • @wesagndawit1531
    @wesagndawit1531 3 місяці тому

    Great video. it worked for me as well. Thanks!

  • @thebrighttm3097
    @thebrighttm3097 3 місяці тому

    wooow

  • @shwetasharma138
    @shwetasharma138 3 місяці тому

    ANy reserach paper on this?

  • @deepeshbhattarai2
    @deepeshbhattarai2 4 місяці тому

    hello sir can I get source code

  • @RISADWIRATNASARITMU
    @RISADWIRATNASARITMU 4 місяці тому

    Dear Talha Anwar, I am Risa, a student in Psychology. Thank you really great video, I have three question. I would like to ask, for the moment I try to classify eeg data. I have three types of classification from the same data. on the first data it seems working that MVPA give more senstivity to detect significant cluster. but in another condition the result of erp univariate analysis seems more promising different for two condition but the different in ML just gone. I am wondering why. I have tried to change parameter like scaler from mean to median seems it helps but the AUC is still very low below 53. so I am interested to use convolutional neural network. thank you now I have success to install tensorflow package. I will continue to follow the step. :) another question is, previsously, I used gridsearch to see what the best parameter in svm whether, linear, rbf, other. I have 30 participants and each individual data has different suggestion. for standarisation procedure I don't what the best to choose. may I discuss a bit further with you related this and visualization?

  • @salmankhalildurrani
    @salmankhalildurrani 4 місяці тому

    Great work

  • @shwetasharma138
    @shwetasharma138 4 місяці тому

    Sir, I am working on eeg confused students dataset (kaggle). How can i apply clusters there and put those clusters to an ML algo?

  • @sumitawasthi7068
    @sumitawasthi7068 4 місяці тому

    Great vedio I must say. Additionaly i have some queries regarding the classification problem, Please share your email so that i can send it to you for help.

  • @RealBrokoli
    @RealBrokoli 4 місяці тому

    Thank you! I kept looking at tutorials on how to do this, but you explained everything clearly

  • @Alvaro-og4rk
    @Alvaro-og4rk 4 місяці тому

    When I try to test lambda, I get this error. Does anyone know what I did wrong? { "errorMessage": "Unable to import module 'app': No module named 'app'", "errorType": "Runtime.ImportModuleError", "requestId": "3ec82efa-62f7-42f8-94b8-c6a4f0e56c63", "stackTrace": [] }

  • @o0tajmashido0o
    @o0tajmashido0o 5 місяців тому

    when runing sudo sh cuda_11.8.0_520.61.05_linux.run I get a message that says that i have a driver for the package and that i should uninstall it before continuing "Existing package manager installation of the driver found. It is strongly │ │ recommended that you remove this before continuing." I dont rememer installing any package manager though, what should i do? Could therebe a major problem if i continue the installation without doing it? Thanks

  • @ronitsrivastava377
    @ronitsrivastava377 6 місяців тому

    Did the video tell the different types of arrhythmia and how many they are in number for each?

  • @bharath7267
    @bharath7267 6 місяців тому

    Sir, can u please share the python file of the above

  • @Sigi-f6r
    @Sigi-f6r 6 місяців тому

    Sir, you also can read neural dust devices and grain chip devices?

  • @RakibulIslam-mf8fq
    @RakibulIslam-mf8fq 6 місяців тому

    To fix no module named mne error: Write "!pip install mne", if it says " not on path" , go to computer settings --> systme path---> add the dirctory "C:\Users\user\AppData\Roaming\Python\Python311\Scripts" to the path. To do that, go to new, give the variable a name and in the place of value: "C:\Users\user\AppData\Roaming\Python\Python311\Scripts", provide this.

  • @tommygun296
    @tommygun296 6 місяців тому

    Very nice! Thank you very much!

  • @nihashanavas9367
    @nihashanavas9367 6 місяців тому

    Hello sir I would like to know if we can use this as a final year project?

  • @mohammedhosen696
    @mohammedhosen696 6 місяців тому

    Thank you so much dear Talha, Jazak Allah kheir. May I know why you're recreating a new model in the training loop with each iteration?

  • @EurekhaK
    @EurekhaK 6 місяців тому

    Im getting internal server error while testing deployed API on aws lambda .Please let me know how to resolve that issue

  • @isdardedilkisifarish3366
    @isdardedilkisifarish3366 6 місяців тому

    😭😭😭finally I was able to do it , THANKS!!!!!!

  • @BhanusriAndhavarapu-g8q
    @BhanusriAndhavarapu-g8q 7 місяців тому

    Could you please create a video on SEED dataset and apply LSTM on it.

  • @kurisettisaisujith7453
    @kurisettisaisujith7453 7 місяців тому

    Code please

  • @mk01872
    @mk01872 8 місяців тому

    salam walequm sir..really great work sir. thank you so much.. Sir i need some of your help in my project .i doing masters in M.Tech .If you help me sir I will be ever greatfull to you si. jajakallahu khair sir. how can i contact you sir?

  • @delcorr_rl
    @delcorr_rl 8 місяців тому

  • @IDG-xx6rh
    @IDG-xx6rh 8 місяців тому

    Use "trainer = Trainer()" instead of "trainer = Trainer(max_epochs=200, auto_lr_find=False, auto_scale_batch_size=False, gpus=-1,precision=16, callbacks=[checkpoint_callback], )"

  • @IDG-xx6rh
    @IDG-xx6rh 8 місяців тому

    Add "from torchmetrics import JaccardIndex self.metrics = JaccardIndex(task='multiclass', num_classes=n_classes)" instead of "self.metrics = torchmetrics.IoU(num_classes=n_classes)"

  • @mdabdullahalhasib2920
    @mdabdullahalhasib2920 8 місяців тому

    Very Nice.. Keep uploading..

  • @mdabdullahalhasib2920
    @mdabdullahalhasib2920 8 місяців тому

    Nice

  • @truptishelar1255
    @truptishelar1255 8 місяців тому

    Hello sir I would like to get the labeled dataset that has been used in the paper as I’m working on a paper related to it Also I’ll acknowledge your paper in the paper that I’ll be creating from this reference dataset

  • @ayushtibrewal4535
    @ayushtibrewal4535 8 місяців тому

    sir why we are creating EPOCHS can'nt we directly add our input shape as (no. of channels,1) , please you can explain me this in detail.

  • @babybigeyes3918
    @babybigeyes3918 8 місяців тому

    Which os u are using?

  • @kamronbeksolih3285
    @kamronbeksolih3285 9 місяців тому

    Assalomu aleykum Mr. Anwar! While running the code I had MisconfigurationException: No supported GPU backend found! error and for now I couldn't fix it. Can you advice or leverage me on this, please.

  • @MrCdofitas
    @MrCdofitas 9 місяців тому

    during executing this part of your code: trainer.fit(model) it give me this error: MisconfigurationException: `train_dataloader` must be implemented to be used with the Lightning Trainer

  • @HananAli421
    @HananAli421 9 місяців тому

    Thank you

  • @jorgefelipegaviriafierro705
    @jorgefelipegaviriafierro705 9 місяців тому

    Thanks man

  • @bijendernagar15
    @bijendernagar15 9 місяців тому

    Wow its amazing best video of deployment on youtube