anilsh

tracking_camsel

Intelligent Camera Selection Decisions for Target Tracking

scheduleQueries

Reinforcement Learning based Querying in Camera Networks for Efficient Target Tracking

anilsh.github.io

attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

AudioRecord

Individual Project

camsel_nsteps

Camera Selection Decisions using Deep Q learning

cme193-ipython-notebooks-lecture

CME 193 lecture on IPython, Pandas and Statsmodels

Foresee

Foresee: Attentive Future Projections for Chaotic Road Environments

kuka_rl

Reinforcement Learning Experiments using PyBullet

Lasagne

Lightweight library to build and train neural networks in Theano

nn-theano

Speed up your Neural Network with Theano and the GPU

nnet_optimization

Optimization problem for neural networks

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

SER

Stratified Samping in Experience Replay

smartcab_ML

A smartcab based on reinforcement learning.