nmwsharp

Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh

antoinebrl

Preparation of ImageNet (ILSVRC2012)

The dataset can be found on the official website if you are affiliated with a research organization. It is also available on Academic torrents.

This script extracts all the images and group them so that folders contain images that belong to the same class.

1. Download the ILSVRC2012_img_train.tar and ILSVRC2012_img_val.tar
2. Download the script wget https://gist.githubusercontent.com/antoinebrl/7d00d5cb6c95ef194c737392ef7e476a/raw/dc53ad5fcb69dcde2b3e0b9d6f8f99d000ead696/prepare.sh
3. Run it ./prepare.sh

aisu-wata0

import optuna
from optuna.trial import TrialState
import numpy as np
from typing import Dict, List, Optional
from collections import defaultdict


class ParamRepeatPruner:
    """Prunes reapeated trials, which means trials with the same paramters won't waste time/resources."""

alonsosilvaallende

pierrelux

import jax
import jax.numpy as np
from jax import grad, jit
from jax.scipy.special import logsumexp


def dadashi_fig2d():
    """ Figure 2 d) of
    ''The Value Function Polytope in Reinforcement Learning''
    by Dadashi et al. (2019) https://arxiv.org/abs/1901.11524

floringogianu

# null.py

import numpy as np
from scipy.linalg import qr

def qr_null(A, tol=None):
    Q, R, P = qr(A.T, mode='full', pivoting=True)
    tol = np.max(A) * np.finfo(R.dtype).eps if tol is None else tol
    rnk = min(A.shape) - np.abs(np.diag(R))[::-1].searchsorted(tol)
    return Q[:, rnk:].conj()

max-mapper

kylemcdonald

awjuliani