AbdelbassetKABOU

AbdelbassetKABOU's Stars

• roboflow/notebooks

  Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

  Language:Jupyter Notebook5.6k79143885

• amanchadha/coursera-deep-learning-specialization

  Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  Language:Jupyter Notebook3.2k30402.3k

• dreamquark-ai/tabnet

  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

  Language:Python2.7k38313490

• ashishpatel26/Andrew-NG-Notes

  This is Andrew NG Coursera Handwritten Notes.

  Language:Jupyter Notebook2.6k3221k

• lucidrains/tab-transformer-pytorch

  Implementation of TabTransformer, attention network for tabular data, in Pytorch

  Language:Python8161615103

• hadronepoch/python-ffmpeg-video-streaming

  📼 Package media content for online streaming(DASH and HLS) using FFmpeg

  Language:Python81422101143

• kennethleungty/Neural-Network-Architecture-Diagrams

  Diagrams for visualizing neural network architecture (Created with diagrams.net)

  76341468

• jdegre/5GC_APIs

  RESTful APIs of main Network Functions in the 3GPP 5G Core Network

  5776650255

• greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

  Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

  Language:Jupyter Notebook47163218

• NickWaterton/Roomba980-Python

  Python program and library to control iRobot Roomba 980 Vacuum Cleaner

  Language:Python3862995109

• nickel0/3GPP-Overall-Architecture

  3GPP Overall Architecture and Specifications including Release-17

  34225654

• sns3/sns3-satellite

  Satellite module for ns-3 simulator

  Language:C++143114658

• jac99/FootAndBall

  FootAndBall: Integrated player and ball detector

  Language:Python1146933

• jkarthic-akamai/ABR-Broadcaster

  A real time encoder for Adaptive Bitrate Broadcast

  Language:Python9316924

• jdnklau/fm-ml

  Collection of resources for research concerning Machine Learning and Formal Methods.

  Language:TeX771012

• godka/Pensieve-PPO

  The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, SAC, and support for both TensorFlow and PyTorch.

  Language:DIGITAL Command Language6581733

• ThinamXx/Meta-llama

  Complete implementation of Llama2 with/without KV cache & inference 🚀

  Language:Python47308

• dogukannulu/csv_extract_airflow_docker

  Writes the CSV file to Postgres, read table and modify it. Write more tables to Postgres with Airflow.

  Language:Python353013

• sanjeevnara7/FootballPassPrediction

  Football/Soccer Pass Receiver Prediction using Object Detection/Graph Neural Networks (GNNs)

  Language:Jupyter Notebook25202

• peterbangert/dash-meets-ns3gym

  DASH meets ns3-gym, an inclusive discrete environment to test ML for video streaming.

  Language:C++23321

• expertailab/Is-BERT-self-attention-a-feature-selection-method

  Language:Jupyter Notebook19314

• mininet/mininet-util

  Mininet monitoring and plotting utilities

  Language:Python1813120

• surfer2047/cheatsheet

  9306

• andruekonst/afex

  Attention-like Feature Explanation

  Language:Jupyter Notebook7201

• antecessor/TabTransformer

  Implementation of TabTransformer: Tabular Data Modeling Using Contextual Embeddings

  Language:Jupyter Notebook6203

• usmanfaryadgujjar/Auto_and_Spare_Parts_Final_Year_Php_Project

  Our project is ‘Auto and Spare Parts’. We are introducing a website or an application through which a user can purchase and sell the auto and spare parts of all kinds of vehicles. A user can create his account as a ‘seller’ or ‘buyer’ to sell or buy vehicle parts. For using this application, first of all user should register him in the application. A user can not add anything to the cart without logging into his account. A user can login through a unique I.D and password. A user can add products to the cart. Indeed, through the help of this website, a user can remove the products from the cart. In addition to this, a user can check promotions and discounts on products. Anyone can get the parts at home to save the time as well as money. To pay for the parts, a user can use the PayPal/credit card option or can use the option of Cash on delivery. On the ‘seller’ side, a ‘seller’ of a car parts can post his product on our website/application to sell his vehicle’s parts. A seller can also create his account and register himself. A seller can post the product; he can also give discounts on the products. Seller can Update or delete the products. This Application is free of cost on Play Store. We are providing an online platform for purchasing or selling the Cars parts on one click.

  Language:CSS6104

• aamir09/VarCnn

  The VarCNN is an Convolution Neural Network based approach to automate Video Assistant Referee in football.

  Language:Python5100

• AnandKri/FCBF

  Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.

  Language:Python300

• sajibtariq/dashframework

  Language:Jupyter Notebook2204

• youbinee/H-NDAF

  Language:Go210