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@younesbelkada
younesbelkada / finetune_llama_v2.py
Last active May 6, 2024 23:58
Fine tune Llama v2 models on Guanaco Dataset
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
@josemarcosrf
josemarcosrf / NaturalLanguageDatasets.md
Last active February 19, 2023 11:59
List of Language related open datasets. NLP NLU Dataset
@luncliff
luncliff / cmake-tutorial.md
Last active May 3, 2024 00:53
CMake 할때 쪼오오금 도움이 되는 문서

CMake를 왜 쓰는거죠?
좋은 툴은 Visual Studio 뿐입니다. 그 이외에는 전부 사도(邪道)입니다 사도! - 작성자

주의

  • 이 문서는 CMake를 주관적으로 서술합니다
  • 이 문서를 통해 CMake를 시작하기엔 적합하지 않습니다
    https://cgold.readthedocs.io/en/latest/ 3.1 챕터까지 따라해본 이후 기본사항들을 속성으로 익히는 것을 돕기위한 보조자료로써 작성되었습니다
@jeasinema
jeasinema / weight_init.py
Last active May 25, 2023 09:32
A simple script for parameter initialization for PyTorch
#!/usr/bin/env python
# -*- coding:UTF-8 -*-
import torch
import torch.nn as nn
import torch.nn.init as init
def weight_init(m):
'''
@keon
keon / unsort_pytorch.py
Created January 4, 2018 09:02
unsort pytorch
x = torch.randn(10)
print(x)
y, ind = torch.sort(x, 0)
print("y", y)
print("ind", ind)
unsorted = y.new(*y.size())
unsorted.scatter_(0, ind, y)
print("unsorted:", unsorted)
print((x - unsorted).abs().max())
@mdonkers
mdonkers / server.py
Last active May 6, 2024 23:32
Simple Python 3 HTTP server for logging all GET and POST requests
#!/usr/bin/env python3
"""
License: MIT License
Copyright (c) 2023 Miel Donkers
Very simple HTTP server in python for logging requests
Usage::
./server.py [<port>]
"""
from http.server import BaseHTTPRequestHandler, HTTPServer
@tuxdna
tuxdna / pi.py
Last active April 13, 2024 04:02
Policy Iteration in Python
#!/usr/bin/env python
# coding=utf-8
import numpy as np
"""
1: Procedure Policy_Iteration(S,A,P,R)
2: Inputs
3: S is the set of all states
4: A is the set of all actions
5: P is state transition function specifying P(s'|s,a)
@tomokishii
tomokishii / mnist_cnn_bn.py
Last active December 14, 2023 03:55
MNIST using Batch Normalization - TensorFlow tutorial
#
# mnist_cnn_bn.py date. 5/21/2016
# date. 6/2/2017 check TF 1.1 compatibility
#
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" 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
@primaryobjects
primaryobjects / irc.py
Created March 18, 2016 03:10
A simple IRC client written in Python.
#
# [2016-03-14] Challenge #258 [Easy] IRC: Making a Connection
# https://www.reddit.com/r/dailyprogrammer/comments/4ad23z/20160314_challenge_258_easy_irc_making_a/
#
import socket
input = """chat.freenode.net:6667
dude1267
dude1267