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Name: Milad Shirani
Type: User
Name: Milad Shirani
Type: User
Study group notebooks and resources from the 022221FT online data science cohort.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
This repo contains my learnings and practice notebooks on Spark using PySpark (Python Language API on Spark). All the notebooks in the repo can be used as template code for most of the ML algorithms and can be built upon it for more complex problems.
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
automatic differentiation made easier for C++
Source Code for 'Bayesian Optimization' by Peng Liu
A Python implementation of global optimization with gaussian processes.
EE225D Signal Processing Lab
Bayesian optimization in PyTorch
When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.org/10.1016/j.cma.2022.115731 and the relevant other papers from this repo
Course material (Jupyter notebooks & Quizzes) for Deeplearning.ai's TensorFlow Developer Professional Certificate
Data plus code fo Classification of Heart Sound Signal Using Multiple Features
CodeCademy-ML-Regression-Yelp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Quiz & Assignment of Coursera
This is Andrew NG Coursera Handwritten Notes.
Custom Models, Layers, and Loss Functions with TensorFlow Coursera Course
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
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;
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Some work of Andrew Ng's course on Coursera
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.