- San Francisco
- https://orcid.org/0000-0003-2946-5525
- @viglovikov
- in/iglovikov
- ternaus
Stars
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework Join our Community: https://discord.com/servers/agora-999382051935506503
A rewrite of Python's builtin doctest module (with pytest plugin integration) with AST instead of REGEX.
A curated list of awesome machine learning frameworks, libraries and software (by language). I
Up to 200x Faster Dot Products & Similarity Metrics β for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, β¦
Up to 10x faster strings for C, C , Python, Rust, and Swift, leveraging NEON, AVX2, AVX-512, and SWAR to accelerate search, sort, edit distances, alignment scores, etc π¦
π Collection of Kaggle Solutions and Ideas π
We write your reusable computer vision tools. π
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Mirror of https://sourceforge.net/p/docutils/code/HEAD/tree/trunk/
Sensitivity analysis using simulation decomposition
π₯ A Complete List of GitHub Profile Badges and Achievements π₯
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and moβ¦
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
Run PyTorch LLMs locally on servers, desktop and mobile
Utilities intended for use with Llama models.
My solution for Kaggle Abstraction and Reasoning Challenge
Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge
Reverse Engineering the Abstraction and Reasoning Corpus
AI-data warehouse to enrich, transform and analyze data from cloud storages
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]