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@mblondel
mblondel / lda_gibbs.py
Last active October 9, 2023 11:31
Latent Dirichlet Allocation with Gibbs sampler
"""
(C) Mathieu Blondel - 2010
License: BSD 3 clause
Implementation of the collapsed Gibbs sampler for
Latent Dirichlet Allocation, as described in
Finding scientifc topics (Griffiths and Steyvers)
"""
@huyng
huyng / matplotlibrc
Created February 8, 2011 15:50
my default matplotlib settings
### MATPLOTLIBRC FORMAT
# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).
@zythum
zythum / gist:2848881
Created June 1, 2012 04:50
google收录的敏感词
@kevin-smets
kevin-smets / iterm2-solarized.md
Last active July 21, 2024 03:52
iTerm2 + Oh My Zsh + Solarized color scheme + Source Code Pro Powerline + Font Awesome + [Powerlevel10k] - (macOS)

Default

Default

Powerlevel10k

Powerlevel10k

@lmullen
lmullen / Makefile
Last active May 30, 2024 09:34
PDF slides and handouts using Pandoc and Beamer
SLIDES := $(patsubst %.md,%.md.slides.pdf,$(wildcard *.md))
HANDOUTS := $(patsubst %.md,%.md.handout.pdf,$(wildcard *.md))
all : $(SLIDES) $(HANDOUTS)
%.md.slides.pdf : %.md
pandoc $^ -t beamer --slide-level 2 -o $@
%.md.handout.pdf : %.md
pandoc $^ -t beamer --slide-level 2 -V handout -o $@
@rishav-rohit
rishav-rohit / UnionJob.java
Created September 16, 2014 07:24
HBase multi table input union example driver
package com.rishav.hbase.union;
import java.util.ArrayList;
import java.util.List;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.util.Bytes;
@neubig
neubig / lstm-lm.py
Last active August 23, 2017 09:18
This is a minimal implementation of training for a language model using long short-term memory (LSTM) neural networks
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This is a simplified implementation of the LSTM language model (by Graham Neubig)
#
# LSTM Neural Networks for Language Modeling
# Martin Sundermeyer, Ralf Schlüter, Hermann Ney
# InterSpeech 2012
#
# The structure of the model is extremely simple. At every time step we
@PurpleBooth
PurpleBooth / README-Template.md
Last active July 18, 2024 23:22
A template to make good README.md

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

@karpathy
karpathy / min-char-rnn.py
Last active July 18, 2024 15:59
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
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)

Build tensorflow on OSX with NVIDIA CUDA support (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer