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dqn_tensorflow

Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'

dragonstar2019

drake

A planning, control, and analysis toolbox for nonlinear dynamical systems. Please see the WIKI for documentation.

draw

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

drivebot

RL for driving a simple bot around

driver-telematics-kaggle-neural-net

My try at solving the Driver Telematics problem on Kaggle using neural networks

drl

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

drl-1

drug-computing

Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dsr

dsr-1

Reproduction of Deep Successor Representation Network

dsr-2

Deep Successor Representation

dtinet

A Network Integration Approach for Drug-Target Interaction Prediction

dukemtmc-attribute

23 hand-annotated attributes of Duke dataset

dynamic-memory-networks-in-theano

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

dynamixel_motor

ROS stack for interfacing with Robotis Dynamixel line of servo motors.

dynamixel_pro_moveit_controller

dynet-benchmark

Benchmarks for DyNet

e2c

TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images

e2c-pytorch

E2C implementation in PyTorch

eagcn

Implementation of Edge Attention based Multi-relational Graph Convolutional Networks

easyml

Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

eddynet

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies

eddytracking

Code for the detection and tracking of eddies, following Chelton et al. (Prog. Ocean., 2011) given a series of sea level maps.

edgerealtimevideoanalytics

An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)

eigenoption-critic_sr

Eigenoption Critic through low-level decomposition of the Successor Features Matrix

ein

Object scanning and pick and place for Baxter.

elements-of-statistical-learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

elevation

End-to-end guide design for CRISPR/Cas9 with machine learning