vashishtmadhavan Goto Github PK

adda

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.

bcq

PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"

caffe-dilation

calrank

mini project

cloud-vision

Sample code for Google Cloud Vision

coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

colorization

deep-neuroevolution

Deep Neuroevolution

deepdriverl

RL project for driving

dilation

Dilated Convolution for Semantic Image Segmentation

driving_sim

steering angle prediction and driving data generation with Caffe

econ142-project

PageRank for economic data

ee149finalproject

149 final project files

evolution-strategies-starter

Starter code for Evolution Strategies

gpt_pdf_lang

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hmmnba

homework

Imitation Learning Homework 1

hw4

cs280 hw4

improved-gan

code for the paper "Improved Techniques for Training GANs"

interniothack

MS Intern Hackathon Project

labelingtool

A slim, web-based interface for fine-grained annotation of images. Based of off LabelMe

langchain

⚡ Building applications with LLMs through composability ⚡

liverseg

segmentation of liver lesions using fully convolutional networks

llmutils

a handful of useful utils when working with LLMs

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

miniplaces

Evaluating performance of deep conv nets on the MIT Mini-places challenge

mlsh

morph-net

Fast & Simple Resource-Constrained Learning of Deep Network Structure