cloneofsimo

import torch


class TwoDimRotary(torch.nn.Module):
    def __init__(self, dim, base=100, h = 128, w = 128):
        super().__init__()
        self.inv_freq = 1.0 / (base ** (torch.arange(0, dim, 2).float() / (dim)))
        self.h = h
        self.w = w
        

madebyollin

Objective

Informal (vibes-based) evaluation of the following vision-language-model captioners:

• Florence-2-base-ft
• CogVLM2
• BLIP-2
• MoonDream2
• Share-Captioner
• Florence-2-SD3-Captioner

Birch-san

# Contains MIT-licensed code from wandb
# https://github.com/wandb/wandb/blob/main/LICENSE
# This gist is MIT-licensed (Copyright Alex Birch)

from torch import Tensor, FloatTensor
from torch.nn import Module
from torch.utils.hooks import RemovableHandle
import torch
from typing import List, Callable, Dict, Sequence, Optional, Tuple, Any
from wandb.wandb_torch import log_track_init, log_track_update

Birch-san

from torch import FloatTensor, LongTensor, Tensor, Size, lerp, zeros_like
from torch.linalg import norm

# adapted to PyTorch from:
# https://gist.github.com/dvschultz/3af50c40df002da3b751efab1daddf2c
# most of the extra complexity is to support:
# - many-dimensional vectors
# - v0 or v1 with last dim all zeroes, or v0 ~colinear with v1
#   - falls back to lerp()
#   - conditional logic implemented with parallelism rather than Python loops

sts10

A curated list of command-line utilities written in Rust

Note: I have moved this list to a proper repository. I'll leave this gist up, but it won't be updated. To submit an idea, open a PR on the repo.

Note that I have not tried all of these personally, and cannot and do not vouch for all of the tools listed here. In most cases, the descriptions here are copied directly from their code repos. Some may have been abandoned. Investigate before installing/using.

The ones I use regularly include: bat, dust, fd, fend, hyperfine, miniserve, ripgrep, just, cargo-audit and cargo-wipe.

• atuin: "Magical shell history"
• bandwhich: Terminal bandwidth utilization tool

TaylanTatli

:root {
  --font-family: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
  --body-color: rgba(255, 255, 255, 0.7);
  --body-background: #282c34;
  --header-link-color: #9b9494;
  --header-active-link-color: #d19a66;
  --input-border: 1px solid #2c384e;
  --input-background: #2c384e;
  --input-placeholder-color: #888;
  --input-focus-border-color: #d19a66;

enricofoltran

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

reagent

Custom HTTP Routing in Go

Basic Routing

Responding to requests via simple route matching is built in to Go's net/http standard library package. Just register the path prefixes and callbacks you want invoked and then call the ListenAndServe to have the default request handler invoked on each request. For example:

package main

import (

jeremyjaymes

    <meta name="description" content="{{ if .IsHome }}{{ .Site.Params.description }}{{ else }}{{ .Description }}{{ end }}"/>
    <meta name="robots" content="noodp"/>
    <link rel="canonical" href="{{ .Permalink }}" />

    <!-- Twitter Card -->
    <meta name="twitter:card" content="summary" />
    <meta name="twitter:description" content="{{ if .IsHome }}{{ .Site.Params.description }}{{ else }}{{ .Description }}{{ end }}" />
    <meta name="twitter:title" content="{{ .Title }}{{ if .IsHome }} - {{ .Site.Params.Tagline }}{{ else }} - {{ .Site.Title }}{{ end }}" />
    <meta name="twitter:site" content="{{ .Site.Params.twitter }}" />
    <meta name="twitter:creator" content="{{ .Site.Params.twitter }}" />

tzmartin

1. Copy m3u8 link

2. Run command

echo "Enter m3u8 link:";read link;echo "Enter output filename:";read filename;ffmpeg -i "$link" -bsf:a aac_adtstoasc -vcodec copy -c copy -crf 50 $filename.mp4