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@sangelxyz
sangelxyz / gist:f73b1f7581318979275322dc13094e19
Last active August 27, 2025 22:44
Insomnia and Postman Alternatives
Updated list / Nov 17 - 2024
Posting - https://posting.sh/ - Terminal Based
ATAC - https://github.com/Julien-cpsn/ATAC
Rest.nvim - https://github.com/rest-nvim/rest.nvim
Slumber - (uses tui client) https://slumber.lucaspickering.me/
@buttercutter
buttercutter / mamba.py
Last active May 22, 2024 05:56
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
# [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752)
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader, Dataset
from torch.nn import functional as F
from einops import rearrange, repeat
from tqdm import tqdm
@rain-1
rain-1 / LLM.md
Last active September 5, 2025 02:40
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

@Rast1234
Rast1234 / remember_me.reg
Created June 5, 2022 01:43
Remember me command line args + TexMod + Windows debugger
Windows Registry Editor Version 5.00
[HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Image File Execution Options\RememberMe_stage1.exe]
"Debugger"="\"C:\\Program Files (x86)\\Steam\\steamapps\\common\\Remember Me\\Binaries\\Win32\\RememberMe_stage2.exe\" -ReadPoolSizeFromIni -DisableTexturePool -USEALLAVAILABLECORES"
@agyild
agyild / NVScaler.glsl
Last active September 8, 2025 00:24
NVIDIA Image Scaling v1.0.2 for mpv
// The MIT License(MIT)
//
// Copyright(c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy of
// this software and associated documentation files(the "Software"), to deal in
// the Software without restriction, including without limitation the rights to
// use, copy, modify, merge, publish, distribute, sublicense, and / or sell copies of
// the Software, and to permit persons to whom the Software is furnished to do so,
// subject to the following conditions :
@h3ssan
h3ssan / JetBrains trial reset.md
Last active September 11, 2025 17:58
Reset all JetBrains products trial in Linux

In some cases, only these lines will work

for product in IntelliJIdea WebStorm DataGrip PhpStorm CLion PyCharm GoLand RubyMine; do
    rm -rf ~/.config/$product*/eval 2> /dev/null
    rm -rf ~/.config/JetBrains/$product*/eval 2> /dev/null
done

But if not, try these

@nickovs
nickovs / curve25519.py
Last active February 25, 2025 17:18
A pure Python implementation of Curve25519
"""A pure Python implementation of Curve25519
This module supports both a low-level interface through curve25519(base_point, secret)
and curve25519_base(secret) that take 32-byte blocks of data as inputs and a higher
level interface using the X25519PrivateKey and X25519PublicKey classes that are
compatible with the classes in cryptography.hazmat.primitives.asymmetric.x25519 with
the same names.
"""
# By Nicko van Someren, 2021. This code is released into the public domain.
@vedam
vedam / svelte-summit-2020-summary.md
Last active February 17, 2024 12:45
links and ressources from the svelte-summit-2020 talks

You'll find the talks here


Morgan Williams @mrgnw

The Zen of Svelte

Approaching frontend as a backend developer, Svelte feels surprisingly pythonic. Let's take a quick look at what's familiar, what's foreign, and how to explore the gap.

@PierBover
PierBover / website_performance.md
Last active March 24, 2021 20:45
Tools to test the performance of your website worldwide
@marshyski
marshyski / Windows 10 Gaming Performance.md
Last active March 25, 2024 08:42
Windows 10 Gaming Optimizations

Windows 10 Gaming Performance

Tested On: MSI GS66 Stealth 10SFS-037 Laptop | Intel i7-10750H | Nvidia RTX 2070 Super

Date Updated: 28JUN2020

Est. Time to Completion: 1 hour

Expected improvement from stock Windows 10 install for gaming is 1-3x network improvement and reduction in OS overhead.