YeonwooSung/torchtitan
A PyTorch native platform for training generative AI models
As I've always been
Repositories
YeonwooSung/YeonwooSung
YeonwooSung/llm-architecture-from-scratch
Implementing LLM architectures from scratch in PyTorch
YeonwooSung/cuda-oxide
cuda-oxide is a Rust-to-CUDA compiler that lets you write (SIMT) GPU kernels in safe(ish), idiomatic Rust. It compiles standard Rust code directly to PTX — no DSLs, no foreign language bindings, just Rust.
YeonwooSung/paradedb
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
YeonwooSung/RavenClaw
Powerful coding agent
YeonwooSung/micro-vllm
serving LLMs on micro GPUs
YeonwooSung/mapspot
YeonwooSung/MLOps
Miscellaneous codes and writings for MLOps
YeonwooSung/verl
verl: Volcano Engine Reinforcement Learning for LLMs
YeonwooSung/slime
slime is an LLM post-training framework for RL Scaling.
YeonwooSung/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YeonwooSung/video-rs
Rust-based video analysis toolkit
YeonwooSung/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
YeonwooSung/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
YeonwooSung/persona-pipeline
YeonwooSung/Megatron-LM
Ongoing research training transformer models at scale
YeonwooSung/vision
Datasets, Transforms and Models specific to Computer Vision
YeonwooSung/volant
Rust-based alternative for kafka
YeonwooSung/trl
Train transformer language models with reinforcement learning.
YeonwooSung/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
YeonwooSung/postgresql_cluster
PostgreSQL High-Availability Cluster (based on "Patroni" and DCS "etcd" or "consul"). Automating with Ansible.
YeonwooSung/multigres
Vitess for Postgres
YeonwooSung/accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
YeonwooSung/LMCache
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
YeonwooSung/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
YeonwooSung/PyTorch_GNN_Implementation
PyTorch implementation of GNN models
YeonwooSung/skills
List of skills that I used for my Agents
YeonwooSung/LIMoE-pytorch
PyTorch implementation of LIMoE
YeonwooSung/Pytorch_mixture-of-experts
PyTorch implementation of moe, which stands for mixture of experts