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Fast solution to "The One Billion Row Challenge" implemented in Rust
Neural network learns to play snake in a terminal, built in Rust with Ratatui
Custom hash algorithm used by rustc (plus hashmap/set aliases): fast, deterministic, not secure
Popoki (cat in hawaiian) is a faster Wordle solver built in Rust using Information Theory.
Svart: A high-performance vector database in Rust. Named after the Swedish word for 'black,' Svart aims for sleek and efficient data indexing and retrieval.
Hammare (hammer in swedish) is a simple text editor built with Rust
High-performance MinHash implementation in Rust with Python bindings for efficient similarity estimation and deduplication of large datasets
[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
A curated list of data mining papers about fraud detection.
mora is a distributed event scheduler capable of handling both recurring and one-off event dispatching.
Haiku-Search is a high-performance fuzzy search library designed for web applications. It is built using Rust and compiled to WebAssembly
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
This repository contains my complete resources and coding practices for malware development using Rust 🦀.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A native Rust library for Delta Lake, with bindings into Python
Hurl, run and test HTTP requests with plain text.
A toolchain for web projects, aimed to provide functionalities to maintain them. Biome offers formatter and linter, usable via CLI and LSP.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Convert Compute And Books Into Instruct-Tuning Datasets! Makes: QA, RP, Classifiers.
Tools for merging pretrained large language models.
Just a bunch of benchmark logs for different LLMs