High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Machine Learning Lifecycle

Transformers 3rd Edition

A python toolkit facilitating machine-learning experimentation.

Implementation for the different ML tasks on Kaggle platform with GPUs.

wandbot is a technical support bot for Weights & Biases' AI developer tools that can run in Discord, Slack, ChatGPT and Zendesk

repo for training and experiments with skin-cancer dataset from kaggle

Train and fine-tune diffusion models. Perform image-to-image class transfer experiments.

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

Testing ray tune with slurm batch submission and optuna and wandb

In this project we have developed a Deep Autoencoder using Dense Neural Networks to perform dimensionality reduction on MNIST and FMNIST datasets. The project includes training, saving, and evaluating models using PyTorch. Utilized the Weight & Biases library for monitoring and comparison of model performance

Machine Learning eXperiment Utilities

All Assignments of the course, Statistical Methods in AI at IIITH, Monsoon 2024

Interactively inspect module inputs, outputs, parameters, and gradients.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

DL model deployment using docker, API deployment with FastAPI, and MLOps using WandB for overhead-mnist dataset

PyTorch-Lightning Library for Neural News Recommendation

hackable boilerplate for PyTorch Lightning driven deep learning research in Lightning AI Studios

Files needed to run flow-forecast as a container.