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- Haifa, Israel
- https://evgeniizh.com/
- @evgeniyzhe
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[CVPR 2024 Challenge] 1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation
Perl script that evaluates the word count of a tex document according to the PRL length guidelines
This is the development repository for the OpenFHE library. The current (stable) version is v1.2.0 (released on June 25, 2024).
[CVPR 2024] Code release for "Unsupervised Universal Image Segmentation"
[ICCV 2023 Workshop] The Official Implementation of The First Prize Solution for RVOS Competition
🕹 OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit
sneg is a Mathematica package for performing algebraic calculation with non-commuting operators in many-particle physics
Accelerated machine learning with dependent types
Estimate the Jones polynomial for Ising anyons on noisy quantum computers using Hadamard tests and error mitigation
QuantumUtils for Mathematica is a software library for quantum information scientists.
Locally run web app and Chrome extension to remove duplicates from Google Photos
What would you do with 1000 H100s...
A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
A web-based collaborative LaTeX editor
Conversion tools for UD treebanks
Kandinsky 2 — multilingual text2image latent diffusion model
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
Mastering Diverse Domains through World Models
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
AI agent stdlib that works with any LLM and TypeScript AI SDK.
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Code and notebooks to showcase experimental results from Azure Quantum hardware team