A fast multi-core implementation of HDBSCAN for low dimensional Euclidean spaces

A high-throughput and memory-efficient inference and serving engine for LLMs

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

An Open-Source Package for Neural Relation Extraction (NRE)

My solution for Kaggle Abstraction and Reasoning Challenge

Reverse Engineering the Abstraction and Reasoning Corpus

slowly building a set of infinite riddle generators for data-hungry methods

List of Dirty, Naughty, Obscene, and Otherwise Bad Words

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Kolmogorov Arnold Networks

The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.

Python bindings for llama.cpp

LLM inference in C/C++

A Python implementation of LightFM, a hybrid recommendation algorithm.

Threads API build using Flask (Python)

the first library to let you embed a developer agent in your own app!

Papers from the computer science community to read and discuss.

A guidance language for controlling large language models.

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

Advanced python library to scrap Twitter (tweets, users) from unofficial API

Strongly typed, full-featured, light, versatile yet powerful Twitter API v1.1 and v2 client for Node.js.

Distributed experiments on Poincare Embeddings using TensorFlow, PyTorch and HOROVOD.

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Poincaré Embedding

Library that contains implementations of machine learning components in the hyperbolic space

Sioyek is a PDF viewer with a focus on textbooks and research papers

Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112