ROCKAD: Anomaly detection in time series

JAX backend for SGL

A tiny CPU simulator written in Python

The best ChatGPT that $100 can buy.

[ASP-DAC 2024] KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing

Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis

Go语言快速入门

A toolkit for time series machine learning and deep learning

Kronos: A Foundation Model for the Language of Financial Markets

Pretrain a time series model from scratch.

Customization of kubernetes YAML configurations

A Python framework to write Kubernetes operators in just a few lines of code

《Kubernetes in Action 中文版》读书笔记

Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.

The simplest, fastest repository for training/finetuning small-sized VLMs.

Expander, an open-source GKR prover designed for scaling large-scale parallel computing.

Python SDK for Milvus Vector Database

仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

s1: Simple test-time scaling

Record and Replay Framework

A lightweight version of Milvus

Technical Analysis Library using Pandas and Numpy

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …

Highly Scalable Time Series Classification for Very Large Datasets

A high-throughput and memory-efficient inference and serving engine for LLMs

Performance-portable, length-agnostic SIMD with runtime dispatch

cuVS - a library for vector search and clustering on the GPU