dastenturlin

dastenturlin's Stars

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML9.2k2k

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.9k690

• deep-nlp-spring-2020/deep-nlp

  Natural Language Processing with Deep Learning

  11310

• Rustam-Z/machine-learning

  🤖 All about Machine Learning and Deep Learning • Data → Model → Predict

  Language:Jupyter Notebook307

• iamtodor/data-science-interview-questions-and-answers

  Data science interview questions with answers. Not ideally (yet)

  1.6k355

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python291k48.3k

• Lightning-AI/torchmetrics

  Machine learning metrics for distributed, scalable PyTorch applications.

  Language:Python2.2k423

• wmvanvliet/neuroscience_tutorials

  Some tutorials for students of neuroscience

  Language:Jupyter Notebook11033

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.7k1.5k

• zhiyongc/Stacked_Bidirectional_Unidirectional_LSTM

  Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network

  Language:Python5620

• sktime/pytorch-forecasting

  Time series forecasting with PyTorch

  Language:Python4.2k660

• scikit-learn-contrib/metric-learn

  Metric learning algorithms in Python

  Language:Python1.4k229

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6.1k657

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python29.1k3.4k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python141k28.2k

• dwcoder/QuantitativePrimer

  An Interview Primer for Quantitative Finance

  Language:TeX1.3k170

• dingran/quant-notes

  Quantitative Interview Preparation Guide, updated version here ==>

  Language:Jupyter Notebook786139

• geniayuan/datasciencecoursera

  for Data Science class on Coursera

  491145

• Madiyar09/Algos

  Algorithms for competitive programming (Made by Zhaxybay Adilet)

  Language:C++2

• dastenturlin/productiveubot

  Minimalistic todo list Telegram bot

  Language:Python6

• adam-golab/react-developer-roadmap

  Roadmap to becoming a React developer

  Language:JavaScript18.9k2k

• Kaggle/kaggle-api

  Official Kaggle API

  Language:Python6.5k1.1k

• NVlabs/stylegan2

  StyleGAN2 - Official TensorFlow Implementation

  Language:Python11.1k2.5k

• lucidrains/stylegan2-pytorch

  Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

  Language:Python3.7k589

• treoa/cis-internships-21

  201

• eternnoir/pyTelegramBotAPI

  Python Telegram bot api.

  Language:Python8.3k2.1k

• liuhh02/python-telegram-bot-heroku

  A guide to hosting a telegram bot created using the python-telegram-bot library with heroku

  Language:Python99117

• Eldinnie/ptb-heroku-skeleton

  A skeleton app for heroku using python-telegram-bot

  Language:Python4037

• sixhobbits/python-telegram-tutorial

  This is the code for a series of Tutorials that I wrote for Code Mentor.

  Language:Python19399

• JerBouma/AlgorithmicTrading

  This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

  Language:Jupyter Notebook917187