imaganov

imaganov's Stars

• d3/d3

  Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

  Language:Shell109k3.6k2.2k22.9k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX60.6k8884829.7k

• romkatv/powerlevel10k

  A Zsh theme

  Language:Shell47k1872.5k2.2k

• MonitorControl/MonitorControl

  🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.

  Language:Swift28.4k158944823

• debauchee/barrier

  Open-source KVM software

  Language:C27.8k2691.5k1.5k

• viraptor/reverse-interview

  Questions to ask the company during your interview

  27.8k349252.1k

• quii/learn-go-with-tests

  Learn Go with test-driven development

  Language:Go22.3k3082372.8k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.1k5082388.5k

• google/yapf

  A formatter for Python files

  Language:Python13.8k206847890

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.7k398161.9k

• datastacktv/data-engineer-roadmap

  Roadmap to becoming a data engineer in 2021

  12.4k543631.3k

• karpathy/nn-zero-to-hero

  Neural Networks: Zero to Hero

  Language:Jupyter Notebook12.1k287341.5k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  10k22341.6k

• Yorko/mlcourse.ai

  Open Machine Learning Course

  Language:Python9.8k5771325.7k

• DataTalksClub/machine-learning-zoomcamp

  Learn ML engineering for free in 4 months!

  Language:Jupyter Notebook9.7k1621562.3k

• mjhea0/awesome-fastapi

  A curated list of awesome things related to FastAPI

  8.8k17123673

• yanirs/established-remote

  A list of established remote companies

  7.8k34021624

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.2k81186547

• deep-learning-with-pytorch/dlwpt-code

  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

  Language:Jupyter Notebook4.8k1111092k

• G33kzD3n/Catalogue

  Language:Shell4.8k12732k

• vasanthv/talk

  Group video call for the web. No signups. No downloads.

  Language:JavaScript3.9k5240614

• huggingface/deep-rl-class

  This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

  Language:MDX3.9k84307607

• mitmath/computational-thinking

  Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

  Language:Julia2.6k10942482

• MeadowlarkDAW/Meadowlark

  A (currently incomplete) open-source Digital Audio Workstation

  1.4k472749

• whitphx/stlite

  In-browser Streamlit 🎈🚀

  Language:TypeScript1.3k1432465

• slgero/testovoe

  Home assignments for data science positions

  Language:Jupyter Notebook62230097

• NameArtem/deployml_course

  Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»

  Language:Jupyter Notebook9717837

• data-mining-in-action/DMIA_ProductionML_2021_Spring

  Репозиторий направления Production ML, весна 2021

  53808

• makazhan/kaznlp

  NLP tools for Kazakh language

  Language:Python31116

• wisoffe/Courses

  Notes and practical tasks for DS/ML/AI courses

  Language:Jupyter Notebook222010