View itc
#!/bin/bash | |
# tmux requires unrecognized OSC sequences to be wrapped with DCS tmux; | |
# <sequence> ST, and for all ESCs in <sequence> to be replaced with ESC ESC. It | |
# only accepts ESC backslash for ST. | |
function print_osc() { | |
if [[ -n $TERM ]] ; then | |
printf "\033Ptmux;\033\033]" | |
else | |
printf "\033]" |
View (FL)OPS
category | model | FLOPS | HPOPS | AVX / cores / cuda cores... | |
CPU | i9-8950HK (MacBookPro) | 278 GFLOPS | 556 GOPS? | AVX2, 6 cores | |
CPU | E5-2698 v4 | 704 GFLOPS | 1.4 TOPS? | AVX2, 20 cores | |
CPU | Xeon Plat. 8160 (~GCP/AWS) | 3.2 TFLOPS | 6.4 TOPS? | AVX512 x2, 24 cores (2.1*24*512/32*2*2) | |
CPU | Threadripper 2990WX | 1.5 TFLOPS | 3 TOPS? | AVX2, 32 cores (3*32*256/32*2) | |
GPU | K80 | 8.7 TFLOPS | | 2496 cuda cores x2 (=4992) | |
GPU | 1080 Ti | 10.6 TFLOPS | | 3584:224:88 | |
GPU | AMD RX Vega 64 | 11.5 TFLOPS | 23 TOPS | 4096:256:64 | |
GPU | M60 | 9.6 TFLOPS | | 2048:128:64 x2 (i.e. x2 GPU dies) | |
GPU | P100 (NVLink) | 10.6 TFLOPS | 21 TOPS | 3584:224:88? |
View gist:cf6644c7fb73b02a0131
5v5 matches | |
number of heroes in the pool = K | |
dimension of the embedding = E | |
- encode a hero as a one-hot of heroes = 1-of-K | |
- learn a (K, E) matrix to go from hero -> vector (+ bias) | |
(notice that it can do set-of-heroes -> vector too) | |
- learn a logistic regression from both the embeddings of team1 and team2 to predict the winner by backprop through the embedding. | |
- do stats and t-SNE plots of embeddings of single heroes or combinations (teams) of heroes | |
- ... | |
- PROFIT!!! |
View bear.pl
#!/usr/bin/perl | |
use strict; | |
use warnings; | |
use Time::HiRes qw/usleep/; | |
my $b; &load_bear; | |
sub rd { | |
print "\n\e[17A"; | |
} |
View 3 points
Pourquoi un message M porté par une personne X est différent du message M porté par une personne Y: | |
0) Tout message M que tu peux partager en un article est incomplet! Il se base forcément sur un "sens commun", et des connaissances de | |
base en commun (note que pour les personnes X et Y, ses sous-entendus sont sans doute différents). Sinon ce message contiendrait toute | |
l'information pour recréer et la situation et le raisonnement. Donc ce qui se passe dans la tête de l'auditoire est I=f(M), avec f | |
dépendent du lecteur. | |
1) Déjà une bonne preuve (au sens mathématique) qui part des mauvais postulats, c'est très difficile à détecter, parce que l'on passe | |
plus de temps à regarder le raisonnement que les faits de départ. => Donc je me méfie des bonnes rhétoriques dans la bouche de gens qui | |
par ailleurs ont déjà menti. |
View dnn_nesterov.py
""" | |
A deep neural network with or w/o dropout in one file. | |
""" | |
import numpy | |
import theano | |
import sys | |
import math | |
from theano import tensor as T | |
from theano import shared |
View bandits.py
import numpy as np | |
from scipy.stats import bernoulli | |
N_EXPS = 200 # number of experiences to conduct TODO test 10k or 20k EXPS | |
N_BAGS = 10 # number of bags | |
N_DRAWS = 100 # number of draws | |
SMOOTHER = 1.E-2 # shrinkage parameter | |
EPSILON_BANDIT = 0.1 # epsilon-greedy bandit epsilon | |
EPSILON_NUM = 1.E-9 # numerical epsilon |
View dnn.py
""" | |
A deep neural network with or w/o dropout in one file. | |
License: Do What The Fuck You Want to Public License http://www.wtfpl.net/ | |
""" | |
import numpy, theano, sys, math | |
from theano import tensor as T | |
from theano import shared | |
from theano.tensor.shared_randomstreams import RandomStreams |
View dnn_compare_optims.py
""" | |
A deep neural network with or w/o dropout in one file. | |
""" | |
import numpy | |
import theano | |
import sys | |
import math | |
from theano import tensor as T | |
from theano import shared |
View dnn_compare_optims.py
""" | |
A deep neural network with or w/o dropout in one file. | |
""" | |
import numpy | |
import theano | |
import sys | |
import math | |
from theano import tensor as T | |
from theano import shared |
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