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ML-from-Scratch
ML From ScratchImage-Captioning
Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - TransformersNeural-Networks-in-Pytorch
Logistic Regression, ANN, CNN and RNN implemented using PytorchDrone-Image-Semantic-Segmentation
Aerial Drone Image Semantic Segmentation using U-Net with MobileNetV2 as the backbone architecture in PytorchMulti-Label-Segmentation-With-FastAI
Multi Label Segmentation using U-NET with FastAI ImplementationML-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.Lung-Segmentation-With-Keras
Lung Segmentation using U-NET ArchitectureSETI-Breakthrough-Listen
Solution to the SETI Breakthrough Listen Competition hosted on KaggleSeq2seq-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.Image-Classifiers
Pytorch Implementation of Image Classifiers (MobileNet, ResNet, Xception)Categorical-Feature-Encoding
Categorical Feature Encoding using Logistic RegressionTransformers
Pytorch Implementation of TransformersReddit-RoastMe-Captioning
A Reddit RoastMe Image Captioning System using TransformersDCGAN
Pytorch implementation of official DCGAN.MusicGen
Music Generation using LSTM networksInstance-Segmentation-using-Mask-R-CNN
Mask R-CNN Instance SegmentationCartPoleAI
Deep-Q learning model for OpenAi cartpole simulatorLaneDetection
Detect lanes using computer vision.Hyperparameter-Optimization-Techniques
Implementation of the best Hyperparameter Optimization Techniques on a Mobile Price Classification DatasetLove Open Source and this site? Check out how you can help us