Stars
Collection of common code that's shared among different research projects in FAIR computer vision team.
Open Source Feature Flags, Experimentation, and Product Analytics
A socket server (include SSL) supports realtime application, realtime game, MMORPG, messaging, chat and streaming data with TCP, UDP and Websocket
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
vineyard (v6d): an in-memory immutable data manager. (Project under CNCF, TAG-Storage)
Roadmap to becoming a data engineer in 2021
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
📚 Parameterize, execute, and analyze notebooks
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A game theoretic approach to explain the output of any machine learning model.
Personalized PageRank Algorithm described in the paper "FAST-PPR: Scaling Personalized PageRank Estimation for Large Graphs"
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
A curated list of community detection research papers with implementations.
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
dangchienhsgs / euler
Forked from alibaba/eulerA distributed graph deep learning framework.