Trie Libraries

4 September 2023 - Version 1.7.1 25 May 2023 - Version 1.7.0 15 September 2022 - Version 1.6.2 1 September 2022 - Version 1.6.1 24 August 2022 - Version 1.6.0 2 June 2022 - Version 1.5.0 For the late…

This command installs everything needed for basic Pipelines that use an in-memory DocumentStore. If you want to install only the dependencies needed for model inference on your local hardware (not re…

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. Embeddings databases are a union of vector indexes (sparse and dense), graph networks a…

You can use multiple dimensional feature combinations, select different deep learning networks training, study various tasks in the audio field such as Classification, Separation, MIR etc. In the tim…

This is a Python toolbox that implements the training and testing of the approach described in our papers: This code implements: In order to run this toolbox you will need: For detailed explanation o…

StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets faster than you can say "Tokyo Tower" 😅 StringZilla is built on a very simple heuristic: If t…

Many thanks for this package. Wasn't sure where to leave a thank you note but this package is absolutely fantastic in our application where we have a library of 100k+ CRISPR guides that we have to co…

for built-in data readers (github, pdf, docx, ipynb, epub, mbox, websites..), install with: huggingface - ollama example: microsoft azure - openai example: google - vertexai example: aws bedrock - cl…

I have solved quite a number of problems from several topics. See the below table for further details. BFS, DFS, Dijkstra, Floyd–Warshall, Bellman-Ford, Kruskal, Prim's…

Simplified Python Audio Features Extraction spafe requires: if you want to use the visualization module/ functions of spafe, you will need to install: Once you have the Dependencies installed, use on…

MusPy is an open source Python library for symbolic music generation. It provides essential tools for developing a music generation system, including dataset management, data I/O, data preprocessing …

🤖 Megabots provides State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵 Note: This is a work in progress. The API might chan…

My implementation of some popular data structures and algorithms and interview questions relating to them in Python 3 and C++ Contains implementation of Graph data structure and some common questions…

Install the 'SOX' and the 'ffmpeg', we recommend that you run this code in Linux inside the Conda environment. In that, you can install them by: For the most important part: If you want to train/test…

We revisit and address issues with Oxford 5k and Paris 6k image retrieval benchmarks. New annotation for both datasets is created with an extra attention to the reliability of the ground truth and th…

Index ChatGPT has constraints due to its limited knowledge base, sometimes resulting in hallucinating answers when asked about unfamiliar topics. We are introducing the new AI stack, ChatGPT+Vector d…

There are two options. Note: On each of those options, you'll find: No installations needed. Note: On each notebook, click on "Open in Colab", in order to open it on Google Colab Worried about whethe…

This repository contains the Python package libfmp. This package goes hand in hand with the FMP Notebooks, a collection of educational material for teaching and learning Fundamentals of Music Process…

A Python library for symbolic music generation, analysis and visualization. Published in SoftwareX 2023. The modules contained in this library are: To install the latest version, clone this repositor…

All implementations are also available in: The top-level functions are (alphabetical): The names of the additional functions follow the following conventions: Consistent variable naming and formattin…

It is NOT authors implementation and some parts, e.g. sparsification, truncation, etc. are missing. Expected output:

Mix two WAV files - Tested on Python 3.6 or later

In our work, we propose AugNet, a new deep learning training paradigm to learn image features from a collection of unlabeled pictures. We develop a method to construct the similarities between pictur…

This lesson introduces fundamental concepts in image handling and processing. Learners will gain the skills needed to load images into Python, to select, summarise, and modify specific regions in the…

FreeDiscovery is an open source e-Discovery and information retrieval engine. It is based on the scikit-learn library and has two main components, FreeDiscovery is released under the 3-clause BSD lic…

Additional options for attacks (e.g. DNS poisoning) and post-exploitation will be added in the future. This tool is currently divided into four packages: Any of these packages can be extended with ne…

A Convolutional Neural Network which converts piano audio to a simplified MIDI format.The final model takes as input an audio file (mono- or polyphonic)and outputs a simplified MIDI output with the c…

Are you interested in art? Are you curious about how new technological tools might help in your creative process? Then this is the course for you. In this class you are going to learn what Artificial…