Popular GitHub Repositories for Kernel Tracing

10 Lessons to Get Started Building AI Agents

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

A collection of important graph embedding, classification and representation learning papers with implementations.

FlashInfer: Kernel Library for LLM Serving

A C#/.NET library to run LLM (?LLaMA/LLaVA) on your local device efficiently.

It is open source ebook about TensorFlow kernel and implementation mechanism.

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Fast and Easy Infinite Neural Networks in Python

Five lessons, learn how to really apply AI to your .NET Applications

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

一款多语言的API，满足您所有可观测性需求。轻量、快速，可替代LGTM :rocket: 独立的OpenTelemetry、Loki、Prometheus、Tempo、Pyroscope兼容 :star:

Differentiable rendering without approximation.

High-fidelity performance metrics for generative models in PyTorch

:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

Langtrace ? is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. ???

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction