manugaurdl Goto Github PK

asd-classification-using-large-margin-softmax-loss-for-stacked-2d-fmri-data

carvana-image-masking-challenge

Implementing U-NET with VGG-11 backbone pretrained on ImageNet in PyTorch to carry out semantic Segmentation on the Kaggle Carvana dataset.

cider

python codes for CIDEr - Consensus-based Image Caption Evaluation

coco-caption

Adapting coco-caption for self_retrieval_captioning

covid19-protein-sequence-analysis

cryptocurrency-price-forecasting-model-using-lstm

Made a Cryptocurrency Price Prediction Deep Learning Model, using Keras in Python. Used numpy and pandas for data preprocessing and train-test split .Built and trained a LSTM model with dropout and Adam optimizer using Keras Sequential API. Achieved a R2 score of 0.6552

egg

EGG: Emergence of lanGuage in Games

esvit

EsViT: Efficient self-supervised Vision Transformers

jointly-trained-autoencoder-and-mlp-for-autism-classification-

An autoencoder and a MLP is jointly trained on the time-series extracted from from the correlation matrix computed on the ABIDE-1 fMRI data.

llava

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

mmvp

mygpt

Implementation of Karpathy's nanoGPT on Shakespeare and Harry Potter text.

u-net-from-scratch-in-pytorch

Pytorch implementation of U-NET from scratch.

vehicle-routing-problem-with-time-windows