Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

GirlScript Winter of Contributing is a three-month-long Open-Source Program organized by🧡GirlScript Foundation to create the world's largest multilingual content repository that will be available t…

Exploratory Data Analysis and Data Visualisation of All Space Missions from 1957 Dataset.

pre processing for OCR in license plates

A already trained chatbot that solves the problem of customer interaction for business.

A simple 3-layer NN based model with predefined responses

Semantic Segmentation of colon polyps implemented by U-Nets on CVCclinic database. A Flask API and a GUI app to do real-time detection

Contains various topics of OpenCV like Object Detection such as feature, grid, corner, edge detection, contours, watershed algo, Object Tracking such as Lucas-Kanade optical flow, MEANShift and CAM…

PyTorch Implementations of Seq-2-seq architecture, transformers and Machine Translation Projects

LSTM derivatives on day ahead prediction with confidence bounds

A GAN Model consisting of Generator and Discriminator which can create numbers. Trained on MNIST Dataset

Projects like NER, Open-Domain QA with Haystack, Q&A with SQuAD and Sentiment Classification

Brain Tumor Detection, Classification and Segementation. [ViT vs CNN, Mask RCNN]

Generating Text with LSTM Model. Trained on popular fiction novels, manually created. Trying to make it better.

Captcha Recognizer trained with 6 different datasets using LACC

Neural Style Transfer implemented in pytorch with VGG-19 backbone.

Fictional text-generation story, supports streaming of tokens with python text inference and rust backend with gRPC

Siamese Neural Network implemented with pretrained efficientnet base model on market-1501 dataset

Predicting Google Stock Prices using RNN Model

Facial Expression Classifier in pytorch implemented with pretrained efficientnet base model.

Recognises your handwriting of numbers, trained on MNIST dataset

A CNN which can accurately detect infected malaria parasitized cells.

Using the World bank Projects Dataset, building a binary classifier to predict the project status