Skip to content

Instantly share code, notes, and snippets.

View zjf's full-sized avatar

Jianfeng Zhu zjf

16 followers · 15 following
  • Baidu, IDL
  • Beijing
View GitHub Profile
@danijar
danijar / blog_tensorflow_scope_decorator.py
Last active January 17, 2023 01:58
TensorFlow Scope Decorator
# Working example for my blog post at:
# https://danijar.github.io/structuring-your-tensorflow-models
import functools
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
def doublewrap(function):
"""
A decorator decorator, allowing to use the decorator to be used without
@karpathy
karpathy / min-char-rnn.py
Last active June 28, 2024 06:13
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)
@karpathy
karpathy / gist:587454dc0146a6ae21fc
Last active June 7, 2024 05:09
An efficient, batched LSTM.
"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code
class LSTM:
@staticmethod
def init(input_size, hidden_size, fancy_forget_bias_init = 3):
@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
@neubig
neubig / crf.py
Created November 7, 2013 10:59
This is a script to train conditional random fields. It is written to minimize the number of lines of code, with no regard for efficiency.
#!/usr/bin/python
# crf.py (by Graham Neubig)
# This script trains conditional random fields (CRFs)
# stdin: A corpus of WORD_POS WORD_POS WORD_POS sentences
# stdout: Feature vectors for emission and transition properties
from collections import defaultdict
from math import log, exp
import sys
@n3wtron
n3wtron / simple_mjpeg_streamer_http_server
Last active December 22, 2023 13:32
Simple Python Motion Jpeg (mjpeg server) from webcam. Using: OpenCV,BaseHTTPServer
#!/usr/bin/python
'''
Author: Igor Maculan - n3wtron@gmail.com
A Simple mjpg stream http server
'''
import cv2
import Image
import threading
from BaseHTTPServer import BaseHTTPRequestHandler,HTTPServer
from SocketServer import ThreadingMixIn
@BigglesZX
BigglesZX / gifextract.py
Created November 5, 2012 10:31
Extract frames from an animated GIF, correctly handling palettes and frame update modes
import os
from PIL import Image
'''
I searched high and low for solutions to the "extract animated GIF frames in Python"
problem, and after much trial and error came up with the following solution based
on several partial examples around the web (mostly Stack Overflow).
There are two pitfalls that aren't often mentioned when dealing with animated GIFs -
@ryin
ryin / tmux_local_install.sh
Last active April 23, 2024 01:06
bash script for installing tmux without root access
#!/bin/bash
# Script for installing tmux on systems where you don't have root access.
# tmux will be installed in $HOME/local/bin.
# It's assumed that wget and a C/C++ compiler are installed.
# exit on error
set -e
TMUX_VERSION=1.8
@stefanv
stefanv / sparks.py
Created November 17, 2011 00:25
Command line sparks in Python
#!/usr/bin/python
# coding=utf-8
# Python version of Zach Holman's "spark"
# https://github.com/holman/spark
# by Stefan van der Walt <stefan@sun.ac.za>
"""
USAGE: