tanishqgautam Goto Github PK

brain-tumor-classification-with-convnets

A CNN model that will classify if subject has a tumor or not base on MRI scan.

capsule-networks

Pytorch Implementation of Capsule Networks

cartpoleai

Deep-Q learning model for OpenAi cartpole simulator

categorical-feature-encoding

Categorical Feature Encoding using Logistic Regression

dashsentiment

A simple example of sentiment analysis using TextBlob and Vader

dcgan

Pytorch implementation of official DCGAN.

drone-image-semantic-segmentation

Aerial Drone Image Semantic Segmentation using U-Net with MobileNetV2 as the backbone architecture in Pytorch

flappyai

An AI that plays Flappy Bird using the NEAT.

flowerdetection

IOS app to detect flowers from images using custom CoreML model.

hackerrankai

Solutions to Hackerrank Artificial Intelligence problems

hyperparameter-optimization-techniques

Implementation of the best Hyperparameter Optimization Techniques on a Mobile Price Classification Dataset

image-captioning

Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers

image-classifiers

Pytorch Implementation of Image Classifiers (MobileNet, ResNet, Xception)

instance-segmentation-using-mask-r-cnn

Mask R-CNN Instance Segmentation

jelifysh

jelifysh.github.io

lanedetection

Detect lanes using computer vision.

lung-segmentation-with-keras

Lung Segmentation using U-NET Architecture

ml-algorithms-for-breast-cancer-prediction

Application of several machine learning techniques to classify whether the tumor mass is benign or malignant in women residing in the state of Wisconsin, USA.

ml-from-scratch

ML From Scratch

multi-label-segmentation-with-fastai

Multi Label Segmentation using U-NET with FastAI Implementation

musicgen

Music Generation using LSTM networks

neural-networks-in-pytorch

Logistic Regression, ANN, CNN and RNN implemented using Pytorch

object-detection-using-yolov4

Detecting people and mobile phones in images and videos using a custom dataset and Yolov4

recognizar

Ios app to recognize any object using Resnet50 model

reddit-roastme-captioning

A Reddit RoastMe Image Captioning System using Transformers

seq2seq-machine-translation-with-attention

Sequence2Sequence Machine Translation of Russian to English sentence pairs with Attention Mechanism in Pytorch.

seti-breakthrough-listen

Solution to the SETI Breakthrough Listen Competition hosted on Kaggle

transformers

Pytorch Implementation of Transformers