Demontego

Demontego's Stars

• skolai/Recommender-Systems-Intro-Sber-2022

  Introduction to Recommender Systems - course for Sber engineers and analysts

  Language:Jupyter Notebook54

• avito-tech/patterns-and-practices-abstracts

  234

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.6k2.5k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python17.3k1.3k

• EulerSearch/embedding_studio

  Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.

  Language:Python3775

• RootbeerComputer/backend-GPT

  Language:JavaScript2.9k230

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook37.6k4k

• bbycroft/llm-viz

  3D Visualization of an GPT-style LLM

  Language:TypeScript3.9k424

• avidale/encodechka

  The tiniest sentence encoder for Russian language

  Language:Python17610

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.3k712

• thousandvoices/mts_ml_cup

  Language:Python94

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.1k12.2k

• jmcarpenter2/swifter

  A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

  Language:Python2.5k101

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.5k1.4k

• Strekalov/rzd_2022

  Language:Python21

• sb-ai-lab/LightAutoML

  Fast and customizable framework for automatic ML model creation (AutoML)

  Language:Python1.2k51

• google-research/vision_transformer

  Language:Jupyter Notebook10.2k1.3k

• asteroid-team/torch-audiomentations

  Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

  Language:Python92687

• parrt/dtreeviz

  A python library for decision tree visualization and model interpretation.

  Language:Jupyter Notebook2.9k331

• aimclub/FEDOT

  Automated modeling and machine learning framework FEDOT

  Language:Python63786

• aizakharov94/raifhack

  Top solution from team Kanape

  Language:Jupyter Notebook288

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k1.8k

• Yankovsky/yandex-algos-training

  Решения, подсказки, тесты и утилиты для тренировки по алгоритмам от Яндекса.

  Language:Python8920

• Virer2013/Learn_Flutter

  Курс "Изучаем Flutter"

  Language:C++170111

• gorodion/Goods-Classifier

  Сlassification of goods category by its description

  Language:Jupyter Notebook205

• zetayue/MXMNet

  Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"

  Language:Python7016

• sberbank-ai-lab/LightAutoML

  LAMA - automatic model creation framework

  Language:Python89292

• atomistic-machine-learning/G-SchNet

  G-SchNet - a generative model for 3d molecular structures

  Language:Python12924

• vwrs/dcgan-mnist

  simple keras implementation of DCGAN

  Language:Python98

• znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN

  Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

  Language:Python509145