Pinned Repositories
DeepDriveRL
RL project for driving
EE149FinalProject
149 final project files
gpt_pdf_lang
HmmNba
LabelingTool
A slim, web-based interface for fine-grained annotation of images. Based of off LabelMe
liverSeg
segmentation of liver lesions using fully convolutional networks
rl2
Implementation of Learning to RL
transformers-scratch
implementation of transformers from scratch
VashishtMadhavan's Repositories
VashishtMadhavan/LabelingTool
A slim, web-based interface for fine-grained annotation of images. Based of off LabelMe
VashishtMadhavan/rl2
Implementation of Learning to RL
VashishtMadhavan/gpt_pdf_lang
VashishtMadhavan/transformers-scratch
implementation of transformers from scratch
VashishtMadhavan/adda
VashishtMadhavan/atari-model-zoo
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
VashishtMadhavan/BCQ
PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"
VashishtMadhavan/coinrun
Code for the paper "Quantifying Transfer in Reinforcement Learning"
VashishtMadhavan/deep-neuroevolution
Deep Neuroevolution
VashishtMadhavan/dilation
Dilated Convolution for Semantic Image Segmentation
VashishtMadhavan/gym
A toolkit for developing and comparing reinforcement learning algorithms.
VashishtMadhavan/langchain
⚡ Building applications with LLMs through composability ⚡
VashishtMadhavan/LLMUtils
a handful of useful utils when working with LLMs
VashishtMadhavan/maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
VashishtMadhavan/mlsh
VashishtMadhavan/morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
VashishtMadhavan/noreward-rl
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
VashishtMadhavan/notebooks
Home to jupyter notebooks for Mindee OSS projects
VashishtMadhavan/personal-site
website
VashishtMadhavan/pixel-rnn-tensorflow
in progress
VashishtMadhavan/PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
VashishtMadhavan/pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
VashishtMadhavan/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
VashishtMadhavan/pytorch_rl
Deep RL Algorithms in PyTorch
VashishtMadhavan/pyTorchReg
Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
VashishtMadhavan/rlkit
Collection of reinforcement learning algorithms
VashishtMadhavan/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
VashishtMadhavan/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
VashishtMadhavan/TabulaRL
VashishtMadhavan/vashishtmadhavan.github.io
pages site