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Guanlin Li Epsilon-Lee

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@stephenhardy
stephenhardy / git-clearHistory
Created April 26, 2013 22:14
Steps to clear out the history of a git/github repository
-- Remove the history from
rm -rf .git
-- recreate the repos from the current content only
git init
git add .
git commit -m "Initial commit"
-- push to the github remote repos ensuring you overwrite history
git remote add origin git@github.com:<YOUR ACCOUNT>/<YOUR REPOS>.git
@terrydang
terrydang / install_nvidia_driver_in_ubuntu1604.md
Last active August 8, 2022 09:31
Ubuntu 16.04 安装英伟达(Nvidia)显卡驱动

Ubuntu 16.04 安装英伟达(Nvidia)显卡驱动

配有英伟达显卡的主机,装完 Ubuntu 16.04 后出现闪屏现象,是由于没有安装显卡驱动。

显卡型号
NVIDIA Corporation GM204 [GeForce GTX 970]

@wangruohui
wangruohui / Install NVIDIA Driver and CUDA.md
Last active May 17, 2024 09:02
Install NVIDIA Driver and CUDA on Ubuntu / CentOS / Fedora Linux OS
@yzh119
yzh119 / st-gumbel.py
Created January 12, 2018 12:25
ST-Gumbel-Softmax-Pytorch
from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
def sample_gumbel(shape, eps=1e-20):
U = torch.rand(shape).cuda()
return -Variable(torch.log(-torch.log(U + eps) + eps))
@thomwolf
thomwolf / top-k-top-p.py
Last active May 14, 2024 00:20
Sample the next token from a probability distribution using top-k and/or nucleus (top-p) sampling
def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
""" Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
Args:
logits: logits distribution shape (vocabulary size)
top_k >0: keep only top k tokens with highest probability (top-k filtering).
top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
"""
assert logits.dim() == 1 # batch size 1 for now - could be updated for more but the code would be less clear
top_k = min(top_k, logits.size(-1)) # Safety check
@shuoyangd
shuoyangd / saliency.py
Created August 3, 2019 19:58
A portable version of word-level saliency implementation
# -*- coding: utf-8 -*-
#
# Copyright © 2019 Shuoyang Ding <shuoyangd@gmail.com>
# Created on 2019-04-26
#
# Distributed under terms of the MIT license.
from enum import Enum
import pdb
@akashpalrecha
akashpalrecha / an-inquiry-into-matplotlib-figures.ipynb
Last active January 13, 2023 16:32
An Inquiry into Matplotlib's Figures, Axes, subplots and the very amazing GridSpec!
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