Computer Science and Programming

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Computer Science and Programming (@machinelearning_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 846 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 736-o'rinni va Hindiston mintaqasida 29 532-o'rinni egallagan.

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04 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -152 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Yuqori yangilanish chastotasi (oxirgi ma’lumot 05 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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Course Catalog Download All Udemy Paid Courses And Tutorials FREE - Course Catalog Why Course Catalog? - Course Catalog - Upload New Tutorials And Courses On CourseCatalog.us Every Day. So If You Want To Download More Free Courses And Free Tutorials Then Visit them, Again And Again, to get paid courses for free. Free Tutorials: - The Course Catalog is the largest and most famous website in the world, providing free tutorials on all areas of computer science. Coursecatalog - From Coursecatalog You can find solutions for your IT problems. You can easily find thousands of video tutorials provided by experts here. The coursecatalog contains many free tutorials. t.me/deeplearning_ai 👇👇👇

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A curated list of awesome Python frameworks, libraries, software and resources. github: https://github.com/vinta/awesome-python https://t.me/MachineLearning_Programming

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Millions of learners have used Class Central to find their next course. https://www.classcentral.com/ Join us and stay up to date with the latest news, research papers with spurce codes, books related to AI/ML/DL

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Millions of learners have used Class Central to find their next course. JOIN US AND STAY UP TO DATE WITH LATEST RESEARCH PAPERS with SOURCE CODE related to Artificial Intelligence https://www.classcentral.com/

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Github: https://github.com/OlafenwaMoses/DeepStack_ExDark Documentation: https://docs.deepstack.cc/index.html#installation Custom dataset preparation: https://docs.deepstack.cc/custom-models/datasetprep/index.html Training custom model: https://docs.deepstack.cc/custom-models/training/index.html

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Dark scene object detection API for detecting 12 common objects in the dark/night images and videos

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500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲 https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code 👉https://t.me/MachineLearning_Programming

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3 Tools to Track and Visualize the Execution of your Python Code https://towardsdatascience.com/3-tools-to-track-and-visualize-the-execution-of-your-python-code-666a153e435e 👉https://t.me/MachineLearning_Programming

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Find and remove duplicate images in your dataset Improve your deep learning image datasets by automatically detecting duplicate and near-duplicate images and removing them https://towardsdatascience.com/find-and-remove-duplicate-images-in-your-dataset-3e3ec818b978 https://t.me/MachineLearning_Programming

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ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation [Cited by 452] paper: http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf github [PyTorch]: https://github.com/Eromera/erfnet_pytorch

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Graph Neural Networks (GNN, GAE, STGNN) https://jonathan-hui.medium.com/graph-neural-networks-gnn-gae-stgnn-1ac0b5c99550 https://t.me/MachineLearning_Programming

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http://introtodeeplearning.com/

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MIT 6.S191 Introduction to Deep Learning 2021 Course Description MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

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The Top 1,157 Computer Vision Open Source Projects https://awesomeopensource.com/projects/computer-vision https://t.me/MachineLearning_Programming

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21 Python Mini Projects With Code https://levelup.gitconnected.com/21-python-mini-projects-with-codes-c4126e4131e4 https://t.me/MachineLearning_Programming

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Project Page: https://github.com/TZYSJTU/Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale Paper: https://arxiv.org/pdf/2012.09004.pdf https://t.me/MachineLearning_Programming

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sticker.webp0.15 KB

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Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net https://deepai.org/publication/fast-and-furious-real-time-end-to-end-3d-detection-tracking-and-motion-forecasting-with-a-single-convolutional-net Join: https://t.me/DeepLearning_ai