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autonated-dispensary

Contains the codes for an Automated Dispensary system. The system builds a classifier for images of pills, powered by retraining the final layer of MobileNet architecture. It further contains implementations to localize the positions of certain objects in the omage through contour detection and a simple sliding window. Further, it has code to commnicate with an Arduino-UNO to receive orders and control stepper motors.

cifar-100

colour-matching-with-ecovantage

colourmatrix_estimator

coursera-machine-learning-andrew-ng-assignments

cross-domain-fsl-via-nsae

PyTorch implementation of Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder

cs213m-homework

Coding assignments of CS213M

cs231n-assignments

dipeshtamboli

domain-adaptation-utilizing-cyclegan

domain-shift

A repository to demonstrate the domain shift between the different domains of the Office-31 dataset. The repository includes feature extraction from the raw images and then analyzing those feature vectors.

emotion-detection-using-tf

A ready to use repository utilising the TensorFlow model for emotion detection. Can use pre-trained model directly for inferencing.

foundations-of-intelligent-and-learning-agents-programming-assignments

gan_for_clothes

A simple demonstration of CycleGAN to change the colour of the clothes. Here generated image will have the same object content but different colour. Here domain A and B represent different cloth colours(i.e. Green and Maroon)

gpu-benchmarking

A code to benchmark GPU performance on different models

grad-cam

gradient-update-visualization

Visualization of MNIST gradient updates

image-classification-and-localization-using-multiple-instance-learning

Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning

important-snippets

interactive-gradcam

Easy to follow GradCAM visualization - Google collab notebooks where you just have to upload the image and mention the target class to get the feature visualization for models trained on COCO and Imagenet dataset.

multi-mnist-location-detection-and-classification

multisource_person_reid

Person re-identification to observe domain shift. Models trained and tested on the self domain as well as on cross domains(i.e. Models trained on Market1501 and tested on DukeMTMC)

opencv-tflite-for-face-and-hand-detection

posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment

rlhf-vision

simple-genai-notebooks

starter-academic

telegram-python-bots

tensorboard-logs

thermal-treatment