DanisAlukaev

DanisAlukaev's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown326k5.6k71630.2k

• protocolbuffers/protobuf

  Protocol Buffers - Google's data interchange format

  Language:C++66.3k2k6.4k15.6k

• zed-industries/zed

  Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

  Language:Rust53.1k23410.3k3.4k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  31k2.6k01.7k

• emilk/egui

  egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native

  Language:Rust23.4k1372.1k1.6k

• PrefectHQ/prefect

  Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

  Language:Python18k1635.9k1.7k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1124211.4k

• crossbeam-rs/crossbeam

  Tools for concurrent programming in Rust

  Language:Rust7.6k81442478

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.9k951951.4k

• tokio-rs/prost

  PROST! a Protocol Buffers implementation for the Rust Language

  Language:Rust4.1k34506525

• Keats/validator

  Simple validation for Rust structs

  Language:Rust2.1k17210155

• Xuanwo/backon

  Make retry like a built-in feature provided by Rust.

  Language:Rust76954935

• greyblake/ta-rs

  Technical analysis library for Rust language

  Language:Rust7162327139

• TA-Lib/ta-lib

  TA-Lib (Core C Library)

  Language:C7162535163

• durch/rust-s3

  Rust library for interfacing with S3 API compatible services

  Language:Rust5497197209

• google-deepmind/dsprites-dataset

  Dataset to assess the disentanglement properties of unsupervised learning methods

  Language:Jupyter Notebook48915668

• kexinhuang12345/MolTrans

  MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

  Language:Jupyter Notebook19662143

• xi816/EaPP

  Language:Python128436

• dagster-io/awesome-dagster

  All things awesome related to Dagster!

  9215114

• YueYANG1996/LaBo

  CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification

  Language:Python863296

• Trustworthy-ML-Lab/Label-free-CBM

  A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

  Language:Jupyter Notebook842717

• nabenabe0928/tpe

  The tree-structured Parzen estimator (TPE) implementation and the simple running code for it

  Language:Python62234

• cianeastwood/qedr

  Quantitative evaluation of disentangled representations

  Language:Jupyter Notebook61249

• ohkami-rs/serdev

  SerdeV - Serde with Validation

  Language:Rust48022

• ema-marconato/glancenet

  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models

  Language:Python25200

• DanisAlukaev/XCBs

  [EMNLP 2023] Cross-Modal Conceptualization in Bottleneck Models

  Language:Jupyter Notebook111430

• leiluk1/CodeSearcher

  Solving the task of finding source code given its description, which could be useful for both experienced and novice programmers

  Language:Jupyter Notebook4100

• DanisAlukaev/purelung

  A PyTorch based implementation of modules for suppressing bone shadows and context aware image crop in the Chest X-ray images.

  Language:Jupyter Notebook3100

• DanisAlukaev/shapes

  [EMNLP 2023] Dataset of primitive shapes for XCBs

  Language:Python1220

• implausibleDeniability/symbolizer

  Finds exact symbolic mapping for multivariate dataset

  Language:Python1100