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ai-textgen

amazon-fashion-recommendation-engine

This is a case study on how to build a recommendation system using simple euclidean distance.

amazon-fine-food-reviews-analysis

This repository contains a series of experiments performed on the Amazon Reviews dataset. This includes data visualization techniques like PCA and T-SNE. It also includes curating, de-duping and cleaning the dataset to perform a series of NLP related tasks. You will learn about a series of models which includes KNN, Naive Bayes, Logistic Regression, SVMs, Decision Trees, GBDTs, XGBoosts, Random Forests etc. You weill also learn about applying clustering techniques like KMeans, Agglomerative clustering and DBSCAN. You will further learn about Matrix Factorization usng Truncated SVD followed by KMeans clustering.

anglepredictor

animated-t-sne

Dimensionality reduction technique using Animated T-Distributed Stochastic Neighborhood Embedding. This repository is for self reference.

assisted-mlops

attention_keras

Keras Layer implementation of Attention

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

automates

I am lazy. I built a script to apply for jobs, swipe on bumble, and whatever comes next.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

azure-devops-python-api

Azure DevOps Python API

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

breast-cancer-detection

build-cython_bbox.so

building-extremely-powerful-object-recognizers-using-very-little-data

In this repository I will build a state of the art object recognizer with extremely small data. Remember, building a state of the art object recogniser using deep learning is very simple if you have large chunks of data. However, if we have very little data, how can we get the best out of our models? Let's find out!

cifar10-enet-b5

classification-pipeline

This repository contains a pipeline for training classification models using pre trained model in keras. Readme will be updated with step by step process to use this pipeline.

credit-card-fraud-detection-using-statistical-analysis-and-machine-learning.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

data

This repo contains dataset for 5 class animal classifier

deep-learning-apply-various-architectures-on-the-mnist-dataset.

In this tutorial, we will apply a bunch of various Neural Network Architectures on the MNIST dataset and see how each of them behaves with respect to one another.

deep-object-removal

Using cGANs to remove objects from a photo

deepfacelab_linux

DeepFaceLab utilizes deep learning to recognize and swap faces in pictures and videos.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

eda-on-habermans-cancer-survival-dataset

The task in this repository is to perform Exploratory Data Analysis on Habermans Cancer Survival Dataset. At the end of this, we will have an idea about a patient's 5 years survival rate given that he already has been detected with a positive Axillary lymph nodes.

ensemble-learning-blog

Ensemble Learning — Bagging, Boosting, Stacking and Cascading Classifiers in Machine Learning using SKLEARN and MLEXTEND libraries.

exploratory-data-analysis-on-iris-dataset

This repo is for self reference. This contains EDA techniques applied on the Iris Dataset.

faceforensics

Github of the FaceForensics dataset

gpredict

Gpredict satellite tracking application

human-activity-recognition-using-classical-machine-learning-and-lstm

This experiments predicts a human activity based on the data it recieves from the gyroscope. The model classifies a human activity in one of the 6 classes - Sitting, Standing, Walking, Walking Downstairs, Walking Upstairs, Laying.