Pinned Repositories
AppliedML_Python_Coursera
Material and note of the course of Applied ML in Python
deltacode
DeltaCode: compare two codebase scans (from ScanCode) to detect significant changes.
DocFixer
Fashion-in-Tensorflow
Fashion_Mnist_pytorch
Flood_prediction
GROUP
HTML
Machine-Learning-Model-for-Titanic
sci-kit-learn
SadafShafi's Repositories
SadafShafi/GROUP
SadafShafi/HTML
SadafShafi/Machine-Learning-Model-for-Titanic
SadafShafi/Fashion-in-Tensorflow
SadafShafi/Higgs-Boson-Detection-tensorflow-networks-comparison
SadafShafi/PhatooProgress
SadafShafi/Sadaf-Shafi
IoT
SadafShafi/send_to_thingsboard
Python script to send data to thingsboard from a computer to test the working of thingsboard
SadafShafi/Transfer-learning-udacity-tensorflow
SadafShafi/Vid_Downloader-and-Convertor
SadafShafi/AI_batch_2018
SadafShafi/angular_confusion
SadafShafi/Block_Chain
SadafShafi/complete-guide-to-full-stack-solana-development
Code examples for the blog post titled The Complete Guide to Full Stack Solana Development with React, Anchor, Rust, and Phantom
SadafShafi/CoolTensorflowScripts
SadafShafi/FaceFormer
[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers
SadafShafi/fast-neural-style
Feedforward style transfer
SadafShafi/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
SadafShafi/Java_lab_Assignments
SadafShafi/machine-learning
Practical Full-Stack Machine Learning
SadafShafi/MyMetaPlex
SadafShafi/scikit-learn
scikit-learn: machine learning in Python
SadafShafi/Signature-Verification_System_using_YOLOv5-and-CycleGAN
An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch
SadafShafi/SimpleToDo
SadafShafi/solana-transactions-client-side
SadafShafi/SolanaBoilerPlate
SadafShafi/termshape
Python library for drawing basic shapes on terminal
SadafShafi/tester
SadafShafi/transactions-in-Solana
SadafShafi/TypeScript-basics