machinelearning-ai

This repository contains all the work that I regularly did and studied from Medium blogs, various research papers, and other Repos.

manim

Animation engine for explanatory math videos

markdown-badges

Badges for your Profile and Projects.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml-study-plan

The Ultimate FREE Machine Learning Study Plan

nl-augmenter

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

numpy-tutorial

Extensive tutorial of numpy

old-website

personal-site

Personal Website

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

react-react-native-and-redux-test-projects-

React-React-Native-and-Redux-Test-Projects-

resume-en

Professional resume in english

robinschmidt.github.io

This repository contains my personal website.

shahanhasan

My Profile Readme

softmax-regression

get familiar with pytorch

softmax-regression-1

A python implementation of softmax regression.

softmax_regression

Implemented softmax regression and stochastic gradient descent to train a two layer shallow neural network on the MNIST dataset for hand-written digits recognition, using the numpy library for python.

spam-email-classification-adversarial-attacks

Spam Email Classification using ML classifiers and DNN ( ANN , CNN , RNN ) | Adversarial Attacks , Label flip , Faulty records , KNN (defence)

spec-dgs-ulpsm--mqx-pm-bme280-dht-sensors-python-implementation

stytr-2

StyTr2 : Image Style Transfer with Transformers

terminal-based-game-tournament-of-champions-

textattack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

traffic-sign-detection

Traffic signs detection and classification in real time

traffic-sign-detection-classification-system

Traffic Sign Detection using YOLOV4 and Classification using Modified LENET Model

workshop-deep-learning

Accompanying tutorial code for Deep Learning Workshops I ran for Hackers at Cambridge