Anirudh Vemula's Projects
My Implementation of the Anytime D* in C++
The "More" Agnostic Model Learning (or SysID) Approach
Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone
An implementation of the Augmented Random Search algorithm
Estimating pose using ArUCo Markers
An implementation of Grid search Astar (x,y,t) in matlab for prototyping purposes
Implementation of the Deep RL algorithms for playing Atari 2600 games
A pedagogical implementation of Autograd
A high-performance Atari A3C agent in 180 lines of PyTorch
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
Implementation of Animated Game Bowman using DrRacket, a functional programming language
Control flow graph Language processor
Planning and Execution using Inaccurate Models with Provable Guarantees
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2
UCL MSc Computational Statistics and Machine Learning Revision Notes
we optimize the way indexing is done for duplicate keys in a B+ tree secondary index using a) bucket of pointers b) Appending primary key to the search key
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
Performant, differentiable reinforcement learning
Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
A very basic distributed file system implemented
Gists of all deep learning implementations
The DeepMind Control Suite and Package
Matlab implementation of the DPGP Model
Python version of DPGP model (in progress)
TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images