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@lltx
lltx / terminal-setup.md
Created March 23, 2026 01:07
🚀 现代化终端配置指南 - Ghostty + Zoxide + Yazi + Oh-My-Zsh

🚀 现代化终端配置指南

Ghostty + Zoxide + Yazi + Oh-My-Zsh 完整配置

📦 工具列表

  • Ghostty - 现代化 GPU 加速终端模拟器
  • Zoxide - 智能目录跳转工具(cd 的智能替代)
  • Yazi - 快速终端文件管理器
  • Oh-My-Zsh - Zsh 配置框架
@Ryu1845
Ryu1845 / lru.py
Last active December 13, 2023 13:17
Linear Recurrent Unit (LRU) from the paper ["Resurrecting Recurrent Neural Networks for Long Sequences"](https://arxiv.org/abs/2303.06349)
"""
Simplified Implementation of the Linear Recurrent Unit
------------------------------------------------------
We present here a simplified JAX implementation of the Linear Recurrent Unit (LRU).
The state of the LRU is driven by the input $(u_k)_{k=1}^L$ of sequence length $L$
according to the following formula (and efficiently parallelized using an associative scan):
$x_{k} = \Lambda x_{k-1} +\exp(\gamma^{\log})\odot (B u_{k})$,
and the output is computed at each timestamp $k$ as follows: $y_k = C x_k + D u_k$.
In our code, $B,C$ follow Glorot initialization, with $B$ scaled additionally by a factor 2
to account for halving the state variance by taking the real part of the output projection.
@sgraaf
sgraaf / ddp_example.py
Last active November 7, 2024 05:39
PyTorch Distributed Data Parallel (DDP) example
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from argparse import ArgumentParser
import torch
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.utils.data import DataLoader, Dataset
from torch.utils.data.distributed import DistributedSampler
from transformers import BertForMaskedLM
@BIGBALLON
BIGBALLON / extract_ILSVRC.sh
Created May 13, 2018 20:09
script for ImageNet data extract.
#!/bin/bash
#
# script to extract ImageNet dataset
# ILSVRC2012_img_train.tar (about 138 GB)
# ILSVRC2012_img_val.tar (about 6.3 GB)
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory
#
# https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
#
# train/