alirezaJavaheri's starred repositories
rick-and-morty
This is a simple full-stack project with react and nodejs with graphql api.
kernel-sharing
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing
Practical-Deep-Learning-Book
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
EN-FA-CS-Dictionary
:speech_balloon: An English-Persian Dictionary of Computer Science and Artificial Intelligence
pytorch-beginner
pytorch tutorial for beginners
CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
pytorch-template
PyTorch deep learning projects made easy.
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
cs-video-courses
List of Computer Science courses with video lectures.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
vue-graphql-enterprise-boilerplate
A GraphQL ready, very opinionated Vue SPA template for Vue CLI 3
vue-apollo-typescript-example
A simple vue-apollo typescript example app
vue-socket.io-extended
:v::zap: Socket.io bindings for Vue.js and Vuex (inspired by Vue-Socket.io)
neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
papers-we-love
Papers from the computer science community to read and discuss.