investment opportunity: what if we could run multiple architectures in a single file, again
apple universal binaries, but worse
to build:
to run:
build with
make
now send a.py to your guest and run it with python 3 on the guest
Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides
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前言 现在进行RBCD的攻击手段主要是搜索mS-DS-CreatorSID，如果机器的创建者是我们可控的话，那就可以修改对应机器的msDS-AllowedToActOnBehalfOfOtherIdentity，利用工具SharpAllowedToAct-Modify 那我们索性也试试搜索所有计算机
justCTF [*] 2020 This repo contains sources for justCTF [*] 2020 challenges hosted by justCatTheFish. TLDR: Run a challenge with ./run.sh (requires Do
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LegalNLP - Natural Language Processing Methods for the Brazilian Legal Language ⚖️ The library of Natural Language Processing for Brazilian legal lang
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summarizers summarizers is package for controllable summarization based CTRLsum. currently, we only supports English. It doesn't work in other languag
tex2nix Generate Texlive environment containing all dependencies for your document rather than downloading gigabytes of texlive packages. Installation
Custom Natural Language Processing with big and small models 🌲🌱
efficient-task-transfer This repository contains code for the experiments in our paper "What to Pre-Train on? Efficient Intermediate Task Selection".
Klexikon: A German Dataset for Joint Summarization and Simplification Dennis Aumiller and Michael Gertz Heidelberg University Under submission at LREC
One Stop Anomaly Shop (OSAS) Quick start guide Step 1: Get/build the docker image Option 1: Use precompiled image (might not reflect latest changes):
SG-NLP Machine learning models from Singapore's natural language processing (NLP) research community. sgnlp is a Python package that allows you to eas
Contents Semantic Image Synthesis with DAGAN Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Evalu
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