David Oniani oniani

## plot.py
#!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np

# Set matplotlib style
plt.style.use("tableau-colorblind10")
plt.rcParams.update(
    {
        "axes.grid": True,
        "axes.titleweight": "bold",

## cpu_vs_mps.py
#!/usr/bin/env python
import time

import torch


class PerfTimer:
    """A timer for measuring performance using a high-resolution monotonic clock."""

    def __init__(self, desc: str = "") -> None:

## paper.csv

          
            venue
            title
            url

            
              ACL 2022
              Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words
              https://aclanthology.org/2022.acl-short.45/

            
              ACL 2022
              Translation between Molecules and Natural Language
              https://aclanthology.org/2022.emnlp-main.26/

            
              ICLR 2015
              Adam: A Method for Stochastic Optimization
              https://arxiv.org/abs/1412.6980

            
              ICLR 2019
              Decoupled Weight Decay Regularization
              https://arxiv.org/abs/1711.05101

            
              Nature 2022
              Language models can learn complex molecular distributions
              https://www.nature.com/articles/s41467-022-30839-x

            
              Nature 2023
              Foundation models for generalist medical artificial intelligence
              https://www.nature.com/articles/s41586-023-05881-4

## nixos
#!/usr/bin/env sh
wget -O nixos.iso -nc https://channels.nixos.org/nixos-23.05/latest-nixos-gnome-x86_64-linux.iso
qemu-img create -f qcow2 nixos.img 32G
qemu-system-x86_64 -enable-kvm -m 8G -boot d -cdrom nixos.iso -hda nixos.img
qemu-system-x86_64 -enable-kvm -m 8G -boot a -hda nixos.img

## laptop.md

      
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                oniani
                / laptop.md
            
            
              Created
              January 17, 2023 18:09
            
              
                Closing Laptop Lid and Power Key
              
          
    For not logging out on lid closing, open /etc/systemd/logind.conf and add or modify:
HandleLidSwitch=ignore
To disable Fn + Esc functionality add or modify the following to the same file:
HandlePowerKey=ignore

  
## n_way_k_shot.py
import pandas as pd


def n_way_k_shot(path: str, num_samples: int, label_col: str, random_state: int = 0) -> tuple:
    """N-way-K-shot train/test split for Few-Shot Learning (FSL)."""

    df = pd.read_csv(path)
    fn = lambda lg: lg.sample(num_samples, random_state=random_state)

    df_train = df.groupby(label_col, group_keys=False).apply(fn)

## arxiv.go
// USAGE: `go run arxiv.go "Depth-wise Separable Convolution"`

package main

import (
	"fmt"
	"os"
	"strings"

	"github.com/gocolly/colly"

## macros.c
#include <stdio.h>
#include <stdlib.h>

#define ABS(x) (x < 0) ? -x : x
#define EVEN(x) x % 2 == 0
#define ODD(x) x % 2 == 1

#define MAX(x, y) x < y ? y : x
#define MIN(x, y) x < y ? x : y

## exposure.md

      
              1 file
            
          
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                oniani
                / exposure.md
            
            
              Created
              October 14, 2021 16:40
            
              
                HD Pro Webcam C920 - Exposure Settings
              
          
    HD Pro Webcam C920 - Exposure Settings

$ sudo apt install v4l2ucp
$ v4l2ucp
Set Exposure, Auto to Manual Mode and set Exposure (Absolute) to 500.

  
## clang-format
---
# Indentation
ContinuationIndentWidth: 4
IndentCaseLabels:        true
IndentWidth:             4
NamespaceIndentation:    None
TabWidth:                4
UseTab:                  Never

# Comments and sorting
	#!/usr/bin/env python
	import matplotlib.pyplot as plt
	import numpy as np

	# Set matplotlib style
	plt.style.use("tableau-colorblind10")
	plt.rcParams.update(
	{
	"axes.grid": True,
	"axes.titleweight": "bold",
	#!/usr/bin/env python
	import time

	import torch


	class PerfTimer:
	"""A timer for measuring performance using a high-resolution monotonic clock."""

	def __init__(self, desc: str = "") -> None:
venue	title	url
ACL 2022	Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words	https://aclanthology.org/2022.acl-short.45/
ACL 2022	Translation between Molecules and Natural Language	https://aclanthology.org/2022.emnlp-main.26/
ICLR 2015	Adam: A Method for Stochastic Optimization	https://arxiv.org/abs/1412.6980
ICLR 2019	Decoupled Weight Decay Regularization	https://arxiv.org/abs/1711.05101
Nature 2022	Language models can learn complex molecular distributions	https://www.nature.com/articles/s41467-022-30839-x
Nature 2023	Foundation models for generalist medical artificial intelligence	https://www.nature.com/articles/s41586-023-05881-4
	#!/usr/bin/env sh
	wget -O nixos.iso -nc https://channels.nixos.org/nixos-23.05/latest-nixos-gnome-x86_64-linux.iso
	qemu-img create -f qcow2 nixos.img 32G
	qemu-system-x86_64 -enable-kvm -m 8G -boot d -cdrom nixos.iso -hda nixos.img
	qemu-system-x86_64 -enable-kvm -m 8G -boot a -hda nixos.img
	import pandas as pd


	def n_way_k_shot(path: str, num_samples: int, label_col: str, random_state: int = 0) -> tuple:
	"""N-way-K-shot train/test split for Few-Shot Learning (FSL)."""

	df = pd.read_csv(path)
	fn = lambda lg: lg.sample(num_samples, random_state=random_state)

	df_train = df.groupby(label_col, group_keys=False).apply(fn)
	// USAGE: `go run arxiv.go "Depth-wise Separable Convolution"`

	package main

	import (
	"fmt"
	"os"
	"strings"

	"github.com/gocolly/colly"
	#include <stdio.h>
	#include <stdlib.h>

	#define ABS(x) (x < 0) ? -x : x
	#define EVEN(x) x % 2 == 0
	#define ODD(x) x % 2 == 1

	#define MAX(x, y) x < y ? y : x
	#define MIN(x, y) x < y ? x : y
	---
	# Indentation
	ContinuationIndentWidth: 4
	IndentCaseLabels: true
	IndentWidth: 4
	NamespaceIndentation: None
	TabWidth: 4
	UseTab: Never

	# Comments and sorting