Aslam Shaik's starred repositories
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
awesome-computer-vision
A curated list of awesome computer vision resources
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
fastai_deeplearn_part1
Notes for Fastai Deep Learning Course
pytorch-original-transformer
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
advanced_machine_learning
Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"
adverse-drug-effect-detection
This repo demonstrates how to train an NLP model that can detect adverse drug effects (ADEs) in phrases.
best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Deep-Learning-with-fastai-Cookbook
Deep Learning with fastai Cookbook, published by Packt
deep_learning_tutorials
deep learning: theory + practice
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Machine-Learning-Interview-Questions
This repository is regarding important questions asked in Machine Learning Engineer Interviews.
mlbookcamp-code
The code from the Machine Learning Bookcamp book
OpenCV-Python-Tutorials-and-Projects
An easy to follow course of OpenCV using Python for beginners.
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Public-Github
Repository for GH public projects
PytorchGeometricTutorial
Pytorch Geometric Tutorials
COMP4901I_Assignments
Course Assignments for COMP4901I Building Interactive Intelligent Systems