Stars
A coding agent that evolves its own source, in public — 200 lines of Rust on day one, every commit since agent-written and tests-gated.
Drop-in causal memory for AI agents. Append-only event store with associations and bounded memory injection.
Cross-platform, customizable ML solutions for live and streaming media.
python automatic data quality check toolkit
⚡️🐍📦 Serverless plugin to bundle Python packages
Apache Ignite (GridGain) Go language client and SQL driver
🎟️A GitHub Action for serializing workflow runs
Docker images and test runners that replicate the live AWS Lambda environment
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…
Probabilistic time series modeling in Python
A collection of awesome resources in Human Pose estimation.
React file dropzone and uploader
A react table component to display large datasets with high performance and flexibility
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Automatic extraction of relevant features from time series:
A topic-centric list of HQ open datasets.
A toolkit for developing and comparing reinforcement learning algorithms.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
A simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games
Lime: Explaining the predictions of any machine learning classifier
Feature selector is a tool for dimensionality reduction of machine learning datasets
A curated list of awesome Machine Learning frameworks, libraries and software.