Madhumitha Kannan's starred repositories
coding-interview-university
A complete computer science study plan to become a software engineer.
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
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.
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Learn_Computer_Vision
This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube
simple-neural-network
A simple Python script showing how the backpropagation algorithm works.
How-to-prepare-for-google-interview-SWE-SRE
This repository includes resources which are more than sufficient to prepare for google interview if you are applying for a software engineer position or a site reliability engineer position
Machine-Learning-Web-Apps
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
rnn-from-scratch
Implementing Recurrent Neural Network from Scratch
Keras-frcnn
Keras Implementation of Faster R-CNN
Keras-FasterRCNN
keras implementation of Faster R-CNN
LogisticRegression
Logistic regression from scratch in Python
sklearnflask
Flask API for training and predicting using scikit learn models
Breast-cancer-risk-prediction
Classification of Breast Cancer diagnosis Using Support Vector Machines
flask-rest-setup
Notes on Flask REST API and tutorial
visual_question_answering
Tensorflow implementation of "Dynamic Memory Networks for Visual and Textual Question Answering"
Movie-Review-Sentiment-Analysis-LSTM-Pytorch
Classifying movie reviews as positive or negative using Word2Vec Embeddings & LSTM network
BreastCancer_Classification
Machine learning classifier for cancer tissues 🔬
Breast-cancer-diagnosis-using-Machine-Learning
Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.
image_captioning
Image captioning models in PyTorch
breast-cancer-prediction
Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset
Vanilla-GAN
PyTorch implementation of Generative Adversarial Networks by Ian Goodfellow et al. on the MNIST dataset.
exercise-breast-cancer
Python feed-forward neural network to predict breast cancer. Trained using stochastic gradient descent in combination with backpropagation.
MachineLearningLabs
CAUTION : Experiments in Progress