Month: September 2021

PyTorch

The training code for the 4th place model at MDX 2021 leaderboard A

This repository contains the training code of our winning model at Music Demixing Challenge 2021, which got the 4th place on leaderboard A (6th in overall), and help us (Kazane Ryo no Danna) winned the bronze prize. Model Summary Our final winning approach blends the outputs from three models, which are: model 1: A X-UMX model [1] which is initialized with the weights of the official baseline, and is fine-tuned with a modified Combinational Multi-Domain Loss from [1]. In particular, […]

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Parsing

A parsing tool it implements a flexible lexer and a straightforward approach to analyze documents

Python Eacc is a parsing tool it implements a flexible lexer and a straightforward approach to analyze documents. It uses Python code to specify both lexer and grammar for a given document. Eacc can handle succinctly most parsing cases that existing Python parsing tools propose to address. Documents are split into tokens and a token has a type when a sequence of tokens is matched it evaluates to a specific type then rematcned again against the existing rules. The types […]

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Machine Learning

A storage engine for vector machine learning embeddings

Embeddinghub is a database built for machine learning embeddings. It is built with four goals in mind. Store embeddings durably and with high availability Allow for approximate nearest neighbor operations Enable other operations like partitioning, sub-indices, and averaging Manage versioning, access control, and rollbacks painlessly Features Supported Operations: Run approximate nearest neighbor lookups, average multiple embeddings, partition tables (spaces), cache locally while training, and more. Storage: Store and index billions vectors embeddings from our storage layer. Versioning: Create, manage, and […]

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Natural Language Processing

Flexible Generation of Natural Language Deductions

a.k.a. ParaPattern https://arxiv.org/abs/2104.08825 Kaj Bostrom, Lucy Zhao, Swarat Chaudhuri, and Greg Durrett This repository contains all the code needed to replicate the experiments from the paper, and additionally provides a set of tools to put together new natural language deduction operations from scratch. In the data/ folder, you’ll find all the data used to train and evaluate our models, already preprocessed and ready to go, with the exception of the MNLI dataset due to its size – if you want […]

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Ethereum

Gnosis-py includes a set of libraries to work with Ethereum and Gnosis projects

Gnosis-py includes a set of libraries to work with Ethereum and Gnosis projects: EthereumClient, a wrapper over Web3.py Web3 client including utilities to deal with ERC20/721 tokens and tracing. Gnosis Safe classes and utilities. Price oracles for Uniswap, Kyber… Django serializers, models and utils. Quick start Just run pip install gnosis-py or add it to your requirements.txt If you want django ethereum utils (models, serializers, filters…) you need to run pip install gnosis-py[django] If you have issues building coincurve maybe […]

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Visualization

Like ThreeJS but for Python and based on wgpu

pygfx A render engine, inspired by ThreeJS, but for Python and targeting Vulkan/Metal/DX12 (via wgpu). Introduction This is a Python render engine build on top of WGPU (instead of OpenGL). We take a lot of inspiration from ThreeJS, e.g.: Materials and Geometry are combined in world objects. No event system, but controls that make it relatively easy to integrate with one. Decoupled cameras and controls. The code for the render engines is decoupled from the objects, allowing multiple render engines […]

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Django

Help to create computed or custom fields more friendly and easy way in django

Collection of admin fields, decorators and mixin to help to create computed or custom fields more friendly and easy way Installation Requirements: Django > 1.8 and Python > 3.5 pip install django-admin-easy==0.6.1 For Django < 1.8 or Python 2.x pip install django-admin-easy==0.4.1 How it Works When you want to display a field on Django Admin, and this field doesn’t exist in your Model or you need to compute some information, like a Image or Link, you will need to create [...]

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Calendar

ics.py: a Pythonic and easy iCalendar library (rfc5545)

Ics.py is a pythonic and easy iCalendar library. Its goals are to read and write ics data in a developer friendly way. iCalendar is a widely-used and useful format but not user friendly. Ics.py is there to give you the ability of creating and reading this format without any knowledge of it. It should be able to parse every calendar that respects the rfc5545 and maybe some more… It also outputs rfc compliant calendars. iCalendar (file extension .ics) is used […]

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