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Lab Materials for MIT 6.S191: Introduction to Deep Learning
Skills for Real Engineers. Straight from my .agents directory.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
Awesome LLM Books: Curated list of books on Large Language Models
Lightweight coding agent that runs in your terminal
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
The batteries-included agent harness.
OpenClaw中国插件:支持飞书,钉钉,QQ,企业微信,微信
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
A toolkit to run Ray applications on Kubernetes
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
a unified scheduler for online and offline tasks
HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container
Calculate cyclomatic complexities of functions in Go source code.
A high-throughput and memory-efficient inference and serving engine for LLMs
A curated list of awesome Arduino hardwares, libraries and softwares with update script
Tyk Open Source API Gateway written in Go, supporting REST, GraphQL, TCP and gRPC protocols
katalyst aims to provide a universal solution to help improve resource utilization and optimize the overall costs in the cloud. This repo is the core api for Katalyst, including crd, clientSet, inf…
Katalyst aims to provide a universal solution to help improve resource utilization and optimize the overall costs in the cloud. This is the core components in Katalyst system, including multiple ag…
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ongoing research training transformer models at scale