Pinned Repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Big-Data-Visualisation-
This is a big-data project where we scrape the app-data from Google play-store using Selenium and google-play scraper, clean it using PySpark and then Visualise using Tableau.
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
CMI-Assignments
continual_world
D4RL-Docker
diffuser
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
dmc2gym
Dynamics-of-Local-Elasticity-During-Training-of-Neural-Nets
Gaussian-Dropout-Uncertainty
avirupdas55's Repositories
avirupdas55/D4RL-Docker
avirupdas55/Gaussian-Dropout-Uncertainty
avirupdas55/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
avirupdas55/Big-Data-Visualisation-
This is a big-data project where we scrape the app-data from Google play-store using Selenium and google-play scraper, clean it using PySpark and then Visualise using Tableau.
avirupdas55/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
avirupdas55/CMI-Assignments
avirupdas55/diffuser
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
avirupdas55/Docker_JAX
avirupdas55/Dynamics-of-Local-Elasticity-During-Training-of-Neural-Nets
avirupdas55/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
avirupdas55/My-Projects
avirupdas55/Neural-Translation-Model-English-to-German-
A neural translation model built using custom layers and model-subclassing to translate English sentences to German
avirupdas55/Semi-Supervised-Learning-on-Fashion-MNIST-dataset
avirupdas55/Supervised-Learning
Use supervised ML models to predict whether a customer subscribes to a scheme using the data of previous potential customers, collected by the bank
avirupdas55/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks