Starred repositories
IP-format-preserving encryption, with a dedicated 4-byte cipher
Tools and service for differentially private processing of tabular and relational data
Sparse multi-dimensional arrays for the PyData ecosystem
Implementation of a Light Recurrent Unit in Pytorch
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
A daemon which watches a queue and runs stable diffusion.
Efficient Triton Kernels for LLM Training
A concise but complete full-attention transformer with a set of promising experimental features from various papers
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Deploy stable diffusion model with onnx/tenorrt + tritonserver
An extremely fast Python package and project manager, written in Rust.
Low-code framework for building custom LLMs, neural networks, and other AI models
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Build scripts for Oracle AI Database FREE container/docker images
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
A CSS framework for building faithful recreations of operating system GUIs.
Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
Toolkit for manipulation and inspection of Sphinx objects.inv files
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-s…