chirag1992m

import numpy as np
import torch
import keras

def pyt_to_keras(pytorch_model, keras_model):
  """
    Given a PyTorch model, this method transfers the weight to
    a Keras Model (with backend TensorFlow) with the same architecture.
    Assumptions:
      1. The corresponding layer names in both the models will be the same

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

ruffsl

FROM ros:indigo-ros-base
# install ros tutorials packages
RUN apt-get update && apt-get install -y \
    ros-indigo-ros-tutorials \
    ros-indigo-common-tutorials \
    && rm -rf /var/lib/apt/lists/

awesomebytes

Fix malformed stl (says Rviz)

To correct:

The STL file 'package://wsg_50_simulation/meshes/WSG-FMF.stl' is malformed. It starts with the word 'solid', indicating that it's an ASCII STL file, but it does not contain the word 'endsolid' soit is either a malformed ASCII STL file or it is actually a binary STL file. Trying to interpret it as a binary STL file instead.

When launching Rviz with a URDF containing SolidWorks created meshes in STL.

Just go to the folder with STL's with this problem and do:

bitjockey42

Download

• SIP
• PyQT4

pyenv virtualenv

Switch to the Python version you want to use:

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

karpathy

--[[ 
Efficient LSTM in Torch using nngraph library. This code was optimized 
by Justin Johnson (@jcjohnson) based on the trick of batching up the 
LSTM GEMMs, as also seen in my efficient Python LSTM gist.
--]]

function LSTM.fast_lstm(input_size, rnn_size)
  local x = nn.Identity()()
  local prev_c = nn.Identity()()
  local prev_h = nn.Identity()()

jvenator

Installing PDFtk Server edittion on your Mac

This workaround install is necessary because PDFtk was pulled from homebrew-cask due to issues with it aggressively overwriting file permissions that could impact other installed libraries. See this homebrew-cask issue.

The following steps worked on Mac OS X 10.10.1 with a standard brew installation for the PDFtk Mac OS X server libary version 2.02.

All Terminal commands separated by a full line space. Some commands wrap into multiple lines.

Download and extract the Mac OS X server install pacakge

lttlrck

git branch -m old_branch new_branch         # Rename branch locally    
git push origin :old_branch                 # Delete the old branch    
git push --set-upstream origin new_branch   # Push the new branch, set local branch to track the new remote

mgechev

#include <iostream>
#include <math.h>
using namespace std;

template <class T>
struct Node {
    T value;
    Node *left;
    Node *right;