EvaEVL

EvaEVL's Stars

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.7k1.5k

• ValdikSS/GoodbyeDPI

  GoodbyeDPI — Deep Packet Inspection circumvention utility (for Windows)

  Language:C25.9k1.9k

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook66k33.9k

• RappingHalfling/PFST

  Language:Python1

• FUlyankin/matstat_lec

  Лекции по матстату на русском

  Language:TeX368

• FUlyankin/yet_another_matstat_course

  Yet another matstat course (ru)

  Language:Jupyter Notebook6016

• georgygospodinov/speech_course

  Deep Learning for Speech

  Language:Jupyter Notebook818

• Lexxx42/Docker-for-beginners-practical-experience

  Docker for beginners practical experience: Rotoro cloud course

  5227

• mark-narusov/alfabank_campus_challenge

  Jupyter тетрадка с решением Kaggle соревнования Alfa Campus

  Language:Jupyter Notebook111

• samstikhin/ml2021

  Language:Jupyter Notebook2134

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.2k8.5k

• avito-tech/playbook

  AvitoTech team playbook

  2.4k306

• yakimka/python_interview_questions

  Вопросы для подготовки к интервью на позицию Python Developer

  Language:CSS1.8k370

• samstikhin/ml2022

  Курс Машинного обучения МатМех УрФУ

  Language:Jupyter Notebook2315

• ajcr/100-pandas-puzzles

  100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

  Language:Jupyter Notebook2.6k3k

• v-iashin/video_features

  Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

  Language:Python55397

• KlukvaMors/basic_stat

  Конспект лекций по курсу "Основы статистики"

  Language:Jupyter Notebook784228

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28.1k12.8k

• IlyaKuprik/SmartAlarm

  Error

  Language:Java2