Build Real-Time Knowledge Graphs for AI Agents

HelixDB is an OLTP graph-vector database built in Rust on Object Storage.

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

Eliminates delay when activating caps lock on macOS OSX

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Academic Research Skills for Claude Code: research → write → review → revise → finalize

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command li…

DeepTeam is a framework to red team LLMs and AI agents.

Unofficial API for YouTube Music

Copy playlists and liked music from Spotify to YTMusic

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

Hierarchical Reasoning Model Official Release

Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights

Awesome Tabular Deep Learning for "Representation Learning for Tabular Data: A Comprehensive Survey"

Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monito…

TinyTensor is a tool for running already trained NN (Neural Network) models to be able to use them for inference of various tasks such as image classification, semantic segmentation, etc.

Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.

Automatic extraction of relevant features from time series:

General Site for the GFX803 ROCm Stuff

A KCP packet sniffer + visualizer in one, backend rewritten in Go. (For SR)

Repository containing the release data for Genshin Impact.

Your best Genshin Impact companion! Help you plan what to farm with ascension calculator and database. Also track your progress with todo and wish counter.

Code for "Efficient Data Processing in Spark" Course

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Hierarchical forecasting using reconciliation methods

Tidy time series forecasting

Talk on the geometry of forecast reconciliation