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Leo liaocs2008

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@bonlime
bonlime / get_Imagenet.sh
Last active February 28, 2026 11:06 — forked from BIGBALLON/extract_ILSVRC.sh
script for ImageNet data extract.
#!/bin/bash
#
# script to fully prepare ImageNet dataset
## 1. Download the data
# get ILSVRC2012_img_val.tar (about 6.3 GB). MD5: 29b22e2961454d5413ddabcf34fc5622
# wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar
# get ILSVRC2012_img_train.tar (about 138 GB). MD5: 1d675b47d978889d74fa0da5fadfb00e
# wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar
@codertimo
codertimo / run_tf_mlm.py
Created February 21, 2021 16:04
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
@vlasenkoalexey
vlasenkoalexey / download_glue_data.py
Created May 19, 2021 22:44
Fixed W4ngatang/download_glue_data.py script to download GLUE data
''' Script for downloading all GLUE data.
Note: for legal reasons, we are unable to host MRPC.
You can either use the version hosted by the SentEval team, which is already tokenized,
or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually.
For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example).
You should then rename and place specific files in a folder (see below for an example).
mkdir MRPC
cabextract MSRParaphraseCorpus.msi -d MRPC
@veekaybee
veekaybee / chatgpt.md
Last active February 25, 2026 08:47
Everything I understand about chatgpt

ChatGPT Resources

Context

ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?

I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.

Model Architecture