jhyun0919

jhyun0919's Stars

• Powerlevel9k/powerlevel9k

  Powerlevel9k was a tool for building a beautiful and highly functional CLI, customized for you. P9k had a substantial impact on CLI UX, and its legacy is now continued by P10k.

  Language:Shell13.5k942

• rp12-study/rp12-hub

  rp12 허브 입니다.

  238

• sseung0703/rp12-hub

  rp12 허브 입니다.

  4

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.7k1.2k

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.3k1.2k

• tensorflow/addons

  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

  Language:Python1.7k612

• Curt-Park/rainbow-is-all-you-need

  Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

  Language:Jupyter Notebook1.9k339

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript29k2.8k

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.3k4.1k

• pytorch/xla

  Enabling PyTorch on XLA Devices (e.g. Google TPU)

  Language:C++2.5k487

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.3k1.2k

• adam-p/markdown-here

  Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

  Language:JavaScript59.7k11.2k

• Team-Neighborhood/I-want-to-study-Data-Science

  데이터 사이언스를 공부하고 싶은 분들을 위한 글

  1.8k484

• zzsza/Kaggle-knowhow

  Kaggle-Knowhow(Korean Ver) 한국분들을 위한 Kaggle 자료 모음입니다

  373109

• d3/d3

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

  Language:Shell109k22.9k

• mindsdb/mindsdb

  Platform for building AI that can learn and answer questions over federated data.

  Language:Python27k4.9k

• rasbt/python-machine-learning-book

  The "Python Machine Learning (1st edition)" book code repository and info resource

  Language:Jupyter Notebook12.3k4.4k

• facebookresearch/pytext

  A natural language modeling framework based on PyTorch

  Language:Python6.3k801

• aburkov/theMLbook

  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

  Language:Python1.8k561

• suminb/interview-questions

  Interview questions from multiple tech companies

  Language:Python639

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k4.1k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• ujjwalkarn/Machine-Learning-Tutorials

  machine learning and deep learning tutorials, articles and other resources

  15.7k3.8k

• BretFisher/udemy-docker-mastery

  Docker Mastery Udemy course to build, compose, deploy, and manage containers from local development to high-availability in the cloud

  Language:JavaScript5.4k6.3k

• tgjeon/DeepLearningGlossaryKR

  딥러닝, 머신러닝 용어집입니다.

  12

• tensorflow/examples

  TensorFlow examples

  Language:Jupyter Notebook8k7.4k

• tensorflow/tensorboard

  TensorFlow's Visualization Toolkit

  Language:TypeScript6.8k1.7k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.4k2.5k

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.4k2.9k