All Assignments of the course, Statistical Methods in AI, in IIITH, Monsoon 2024
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Updated
May 26, 2024 - Jupyter Notebook
All Assignments of the course, Statistical Methods in AI, in IIITH, Monsoon 2024
Implementation for the different ML tasks on Kaggle platform with GPUs.
DL model deployment using docker, API deployment with FastAPI, and MLOps using WandB for overhead-mnist dataset
hackable boilerplate for PyTorch Lightning driven deep learning research in Lightning AI Studios
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch-Lightning Library for Neural News Recommendation
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
Transformers 3rd Edition
Files needed to run flow-forecast as a container.
In this project, I developed a Machine Translation Engine for Vietnamese using the Transformer Architecture. My focus was on making the implementation clear and accessible, starting from the basics of the model's architecture and training process.
repo for training and experiments with skin-cancer dataset from kaggle
Testing ray tune with slurm batch submission and optuna and wandb
Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.
2D keypoint detection with Pytorch Lightning and wandb
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
Landcover classification on sentinel-2 data with Prithvi, EfficientNet-Unet and OSM / CNES Landcover labels.
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