johnsyin's Stars
cortexlabs/cortex
Production infrastructure for machine learning at scale
ohmyzsh/ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
tuanavu/airflow-tutorial
Apache Airflow tutorial
Kaixhin/grokking-pytorch
The Hitchiker's Guide to PyTorch
kubernetes/minikube
Run Kubernetes locally
moby/hyperkit
A toolkit for embedding hypervisor capabilities in your application
helm/charts
⚠️(OBSOLETE) Curated applications for Kubernetes
google/trax
Trax — Deep Learning with Clear Code and Speed
priyankavergadia/google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
facebookresearch/fastText
Library for fast text representation and classification.
yongzhuo/Keras-TextClassification
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google-research/bert
TensorFlow code and pre-trained models for BERT
fhoffa/code_snippets
CarGuo/gsy_github_app_flutter
Flutter 超完整的开源项目,功能丰富,适合学习和日常使用。GSYGithubApp系列的优势:我们目前已经拥有Flutter、Weex、ReactNative、kotlin 四个版本。 功能齐全,项目框架内技术涉及面广,完成度高,持续维护,配套文章,适合全面学习,对比参考。跨平台的开源Github客户端App,更好的体验,更丰富的功能,旨在更好的日常管理和维护个人Github,提供更好更方便的驾车体验Σ( ̄。 ̄ノ)ノ。同款Weex版本 : https://github.com/CarGuo/GSYGithubAppWeex 、同款React Native版本 : https://github.com/CarGuo/GSYGithubApp 、原生 kotlin 版本 https://github.com/CarGuo/GSYGithubAppKotlin
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
msgi/nlp-journey
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc.
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
fastai/course-v3
The 3rd edition of course.fast.ai
ripienaar/free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
LeCoupa/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
GoogleContainerTools/skaffold
Easy and Repeatable Kubernetes Development
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
plotly/plotly.js
Open-source JavaScript charting library behind Plotly and Dash
plotly/dash
Data Apps & Dashboards for Python. No JavaScript Required.
d3/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.