Arjunsankarlal

system-design-resources

These are the best resources for System Design on the Internet

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

system-design-primer

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

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

wrapt_timeout_decorator

Python Powerful Timeout Decorator that can be used safely on classes, methods, class methods

transformers

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

locust

Write scalable load tests in plain Python 🚗💨

faiss

A library for efficient similarity search and clustering of dense vectors.

hdbscan

A high performance implementation of HDBSCAN clustering.

pqdict

A Pythonic indexed priority queue

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

timebudget

Stupidly-simple speed measurements for Python.

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

MatchZoo-Studio

Facilitate the learning, practicing, and designing of neural text matching models with a user-friendly and interactive interface.

MatchZoo-py

Facilitating the design, comparison and sharing of deep text matching models.

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

awesome-neural-models-for-semantic-match

A curated list of papers dedicated to neural text (semantic) matching.

nmt

TensorFlow Neural Machine Translation Tutorial

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.

DrQA

Reading Wikipedia to Answer Open-Domain Questions

spacy-transformers

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

ELI5

Scripts and links to recreate the ELI5 dataset.

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

ranking_paragraphs_pytorch

Virgilio

Your new Mentor for Data Science E-Learning.

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

dl4marco-bert

language

Shared repository for open-sourced projects from the Google AI Language team.