tanishqgautam/Reddit-RoastMe-Captioning

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tanishqgautam/Reddit-RoastMe-Captioning

tanishqgautam

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A Reddit RoastMe Image Captioning System using Transformers

ML-from-Scratch

ML From Scratch

Image-Captioning

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

Jupyter Notebook

Neural-Networks-in-Pytorch

Logistic Regression, ANN, CNN and RNN implemented using Pytorch

Jupyter Notebook

Drone-Image-Semantic-Segmentation

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

Jupyter Notebook

Multi-Label-Segmentation-With-FastAI

Multi Label Segmentation using U-NET with FastAI Implementation

Jupyter Notebook

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.

Jupyter Notebook

Lung-Segmentation-With-Keras

Lung Segmentation using U-NET Architecture

Jupyter Notebook

Capsule-Networks

Pytorch Implementation of Capsule Networks

SETI-Breakthrough-Listen

Solution to the SETI Breakthrough Listen Competition hosted on Kaggle

Seq2seq-Machine-Translation-with-Attention

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

Brain-Tumor-Classification-with-ConvNets

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

Jupyter Notebook

Image-Classifiers

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

Jupyter Notebook

Categorical-Feature-Encoding

Categorical Feature Encoding using Logistic Regression

Jupyter Notebook

Transformers

Pytorch Implementation of Transformers

DCGAN

Pytorch implementation of official DCGAN.

MusicGen

Music Generation using LSTM networks

Instance-Segmentation-using-Mask-R-CNN

Mask R-CNN Instance Segmentation

Jupyter Notebook

CartPoleAI

Deep-Q learning model for OpenAi cartpole simulator

LaneDetection

Detect lanes using computer vision.

Hyperparameter-Optimization-Techniques

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