Pytorch is a powerful and versatile open-source deep learning library that emphasizes maximum flexibility and dynamic graphs. It allows developers to build complex neural network architectures, and implement state-of-the-art algorithms such as natural language processing (NLP) and computer vision. In addition, it can be used to train and deploy deep learning models such as recognition systems, recommendations, speech processing, time series forecasting and more. A Pytorch Expert can design custom models, optimize performance and deploy production-level applications.
Here’s some projects that our Pytorch Experts made real:
- Video emotion detection
- Convolutional LSTM Autoencoders
- Neural Network mathematical function autograd
- Computer Vision projects with YOLO, OpenCV and PyTorch
- 3D reconstruction
- Deep Fake video face swap web apps
- Compressing Neural Networks with Pruning and Quantization
- C++ inference for YOLOv7 with OpenCV
- Basic neural network Python code check
The Pytorch ecosystem of libraries provides the resources to prototype, optimize, debug and deploy applications quickly. Through our team of experienced Pytorch specialists, Freelancer is equipped to help you build production ready software across a wide range of problem domains. With a combination of world class expertise and user friendly support, you can be up and running with your custom application in no time. So why wait? Post your project now and hire the perfect Pytorch Expert on Freelancer.com.From 11,481 reviews, clients rate our Pytorch Experts 4.85 out of 5 stars.
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I am currently embarking on a research project focused on enhancing IoT security through the development of an LSTM (Long Short-Term Memory) model capable of detecting anomalies. My aim is to pioneer preventative measures against potential security threats within IoT systems. This research does not involve live IoT network infrastructures nor specific IoT devices like temperature sensors, motion detectors, or humidity sensors. Instead, it operates within a simulated environment designed for research purposes, with a keen interest in identifying and analyzing security-related anomalies. ### Ideal Skills and Experience: - Proficiency in deep learning, specifically with experience in LSTM models. - Understanding of IoT security challenges and familiarity with common security threats. - Expe...
I'm embarking on an ambitious project aiming to leverage the power of machine learning for outcome prediction, specifically utilizing image data. My goal is to create a system capable of analyzing visual information and predicting future outcomes based on this data. The project is at a planning stage, and I'm exploring potential processes - whether real-time processing is a necessity or if batch processing can achieve the desired results. Project- Liver Segmentation and disease detection in liver using pytorch and Monai I want all the files including datasets and code files. And a video about how to download source code and run the project on my laptop. **Key Requirements:** - **Expertise in Machine Learning:** You must have a solid understanding of machine learning algorit...
I'm currently embarking on a project within the computer vision field, focusing on enhancing object detection and tracking through a webcam im want person who will make any changes if i need i need in middle of project and i need obhect detection and tracking using yolov8 and other i need best inference spped and accuracy. As I peel back the layers of this technology, my primary goal is to boost the inference speed without compromising on the accuracy or resource efficiency of the process. **Key Requirements:** - Develop and refine object detection algorithms using YOLO v8. - Implement and evaluate performance using different tracking algorithms. - Aim to improve the inference speed of the detection process. **Comparative Analysis Focus:** - Accuracy of detection. - Speed of inferen...
I'm seeking an experienced AI/ML developer to design a neural network focused on image recognition. The project entails: - Creation of a neural network that specializes in recognizing specific categories of images. The categories will be provided in further discussions. - The neural network must perform with sterling precision, desired accuracy is over 95%. It's critical to systematically minimize false positives and negatives. Ideal skills for this task include experience in AI, expertise in neural networks, and proficiency in Python. Understanding of image processing techniques such as convolutional neural networks (CNNs), and a proven track record in creating high-accuracy machine learning models are also highly desirable. This project requires a meticulous and detail-ori...