zaghlol94
Computer science major passionate about Computer Vision,NLP, AI and machine learning
NetconomyPaderborn, NRW, Germany
Pinned Repositories
Computer-Vision-Open-CV-play-ground
Computer-Vision-Open-CV-play-ground
conditional-GAN-pytorch
Customer-Bank-churn
know the custumor who will leave the bank using artificial neural network and evaluate the ANN using k-cross-validation technique, usig also Grid-Search to now the best variable fo ANN
Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
DCGAN-pytorch
Google-Maket-Stock-Prediction-using-RNN
Google Market Stock Prediction using RNN "Keras+Tensorflow"
Machine-translation-seq2seq-transformers
neural-style-transfer-pytorch
Predict-Salary-depend-on-position
Predict Salary depend on position ;train linear,polynomial regretion model and suport vector regression ,decision tree regression and evaluate evry model to choose the good model and use it
Profit-Prediction-for-50-Startup
Profit Prediction for 50 Startup depends on the money have to spent in the R&D department,Marketing department and the state and improve our ML model using backward elimination technique to select the approporaite features
zaghlol94's Repositories
zaghlol94/Google-Maket-Stock-Prediction-using-RNN
Google Market Stock Prediction using RNN "Keras+Tensorflow"
zaghlol94/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
zaghlol94/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
zaghlol94/Audio-Classification
Code for YouTube series: Deep Learning for Audio Classification
zaghlol94/awesome-mlops
A curated list of references for MLOps
zaghlol94/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
zaghlol94/CNN-architectures-pytorch
PyTorch implementation for the most used CNN architecture
zaghlol94/Deep_White_Balance
Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.
zaghlol94/dl-visuals
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
zaghlol94/ExtendedSumm
On Generating Extended Summaries of Long Documents
zaghlol94/FGVC
[ECCV 2020] Flow-edge Guided Video Completion
zaghlol94/fiery
PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"
zaghlol94/GFPGAN
zaghlol94/learnopencv
Learn OpenCV : C++ and Python Examples
zaghlol94/Machine-Learning-Collection
PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms
zaghlol94/ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
zaghlol94/mlcourse.ai
Open Machine Learning Course
zaghlol94/noise2sim
zaghlol94/PhotorealismEnhancement
Code & Data for Enhancing Photorealism Enhancement
zaghlol94/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
zaghlol94/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
zaghlol94/PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
zaghlol94/pytracking
Visual tracking library based on PyTorch.
zaghlol94/realtime_panoptic
Official PyTorch implementation of CVPR 2020 Oral: Real-Time Panoptic Segmentation from Dense Detections
zaghlol94/res-mlp-pytorch
Implementation of ResMLP, an all MLP solution to image classification, in Pytorch
zaghlol94/retinaface
The remake of the https://github.com/biubug6/Pytorch_Retinaface
zaghlol94/self-attention-cv
Implementation of self-attention mechanisms for general purpose. Focused on computer vision modules. Ongoing repository.
zaghlol94/svoice
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
zaghlol94/taming-transformers
zaghlol94/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.