Zijian Du's repositories
webviz
web-based visualization libraries
faiss
A library for efficient similarity search and clustering of dense vectors.
skywalking
APM, Application Performance Monitoring System
kafka
Mirror of Apache Kafka
dask
Parallel computing with task scheduling
cassandra
Mirror of Apache Cassandra
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
E3Outlier
E3Outlier: Effective End-to-end Unsupervised Outlier Detection
redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
mindsdb
In-Database Machine Learning
elki
ELKI Data Mining Toolkit
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
cml
♾️ CML - Continuous Machine Learning | CI/CD for ML
ml-glossary
Machine learning glossary
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
dvc
🦉Data Version Control | Git for Data & Models | ML Experiments Management
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
mlflow
Open source platform for the machine learning lifecycle
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
the-gan-zoo
A list of all named GANs!
DeepLearningExamples
Deep Learning Examples
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
shap
A game theoretic approach to explain the output of any machine learning model.
project-based-learning
Curated list of project-based tutorials
fsdl-text-recognizer-project
Lab materials for the Full Stack Deep Learning Course
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.