Natural Language Processing

Transfer learning for NLP models by annotating your textual data

Label Studio for Transformers Transfer learning for NLP models by annotating your textual data without any additional coding. This package provides a ready-to-use container that links together: Quick Usage Install Label Studio and other dependencies pip install -r requirements.txt Create ML backend with BERT classifier label-studio-ml init my-ml-backend –script models/bert_classifier.py cp models/utils.py my-ml-backend/utils.py Create ML backend with BERT named entity recognizer label-studio-ml init my-ml-backend –script models/ner.py cp models/utils.py my-ml-backend/utils.py Start ML backend at http://localhost:9090 label-studio-ml start my-ml-backend Start Label Studio […]

Read more
Images

OpenAI DALLE model and generating images from given texts

DALLE-reproduction This repository is for sharing pre-trained OpenAI DALLE model and generating images from given texts. All models are trained by lucidrains/DALLE-pytorch + VQGAN (Taming transformer) with different training code and BPE model. The notebook includes Text to image generation Pre-trained CLIP reranking 3. Generate rest of image based on the given cropped image Usage Install requirements $ pip install -r requirements Install DeepSpeed Follow the instruction here and install DeepSpeed Models Download models below and save them in pretrained […]

Read more
Machine Learning

A Legate library that aims to provide a distributed and accelerated drop-in replacement

Legate NumPy Legate NumPy is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API on top of the Legion runtime. Using Legate NumPy you do things like run the final example of the Python CFD course completely unmodified on 2048 A100 GPUs in a DGX SuperPOD and achieve good weak scaling. Legate NumPy works best for programs that have very large arrays of data that cannot fit in the memory of a […]

Read more
Images

A subfield of machine learning focused on developing representations of images

Curator Self-supervised learning is a subfield of machine learning focused on developing representations of images without any labels, which is useful for reverse image searching, categorization and filtering of images, especially so when it would be infeasible to have a human manually inspect each individual image. It also has downstream benefits for classification tasks. For instance, training SSL on 100% of your data and finetuning the encoder on the 5% of data that has been labeled significantly outperforms training a […]

Read more
Machine Learning

Implementation of different architectures for emotion recognition in conversations

Emotion Recognition in Conversations Unlike other emotion detection models, these techniques consider the party-states and inter-party dependencies for modeling conversational context relevant to emotion recognition. The primary purpose of all these techniques are to pretrain an emotion detection model for empathetic dialogue generation. Interaction among different controlling variables during a dyadic conversation between persons X and Y. Grey and white circles represent hidden and observed variables, respectively. P represents personality, U represents utterance, S represents interlocutor state, I represents interlocutor […]

Read more
Machine Learning

2D fluid simulation implementation of Jos Stam paper on real-time fuild dynamics

Fluid Simulation 2D fluid simulation implementation of Jos Stam paper on real-time fuild dynamics, including some suggested extensions. Usage Download this repo and store it in your computer. Open a terminal and go to the root directory of this folder. Make sure you have installed the needed dependencies by typing: $ pip install numpy $ pip install matplotlib $ pip install ffmpeg Note: Go to Install FFmpeg on Windows section if you haven’t installed FFmpeg software locally before. It must […]

Read more
Tool

A Python port of ebook-tools which is written in Shell

This project (version 0.1.0a3) is a Python port of ebook-tools which is written in Shell by na–. The Python script ebooktools.py is a collection of tools for automated and semi-automated organization and management of large ebook collections. ebooktools.py makes use of the following modules: edit_config.py edits a configuration file which can either be the main config file that contains all the options defined below or the logging config file. convert_to_txt.py converts the supplied file to a text file. It can […]

Read more
Security

A system that is used for ethical hacking and computer security tests

lab_tool is a system that is used for ethical hacking and computer security tests, this system is also a python library. Warning This tool is only for educational purpose. If you use this tool for other purposes except education we will not be responsible. Pre-requirements The requirements to use the system is to have the following python modules installed: colorama requests wheel Installation To install lab_tool on linux run these commands on your Linux Terminal. git clone https://github.com/dylan14567/lab_tool cd lab_tool […]

Read more
Python

Build a Python Directory Tree Generator for the Command Line

Creating applications with a user-friendly command-line interface (CLI) is a useful skill for a Python developer. With this skill, you can create tools to automate and speed up tasks in your working environment. In this tutorial, you’ll build a Python directory tree generator tool for your command line. The application will take a directory path as an argument at the command line and display a directory tree diagram on your screen. It’ll also provide other options to tweak the output. […]

Read more
Machine Learning

Multiple types of NN model optimization environments

mtomo Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. And, Intel iHD GPU (iGPU) support. 1. Environment Docker 20.10.5, build 55c4c88 2. Model optimization environment to be built Ubuntu 20.04 x86_64 CUDA 11.0 cuDNN 8.0 TensorFlow v2.4.1 (MediaPipe Custom OP, FlexDelegate, XNNPACK enabled) tflite_runtime v2.4.1 (MediaPipe Custom OP, FlexDelegate, XNNPACK enabled) edgetpu-compiler flatc 1.12.0 TensorRT cuda11.0-trt7.1.3.4-ga-20200617 PyTorch 1.8.1+cu110 TorchVision 0.9.1+cu110 TorchAudio 0.8.1 OpenVINO 2021.3.394 […]

Read more
1 … 677 678 679 680 681 … 935