Machine Learning Engineering Open Book

FlashSampling: Fast and Memory-Efficient Exact Sampling (https://huggingface.co/papers/2603.15854)

Early-stage Rust drop-in alternative frontend for vLLM

Tensors and Dynamic neural networks in Python with strong GPU acceleration

NVIDIA Inference Xfer Library (NIXL)

wentao.site / Hugo Template / A template repository for Hugo based blog

A PyTorch native platform for training generative AI models

A framework for efficient model inference with omni-modality models

Easy, Fast, and Scalable Multimodal AI

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

TPU inference for vLLM, with unified JAX and PyTorch support.

SkyRL: A Modular Full-stack RL Library for LLMs

Post-training with Tinker

[NeurIPS 2025] Scaling Speculative Decoding with Lookahead Reasoning

A high-performance and light-weight router for vLLM large scale deployment

Common recipes to run vLLM

Open-source implementation of AlphaEvolve

Nano vLLM

Achieve state of the art inference performance with modern accelerators on Kubernetes

A Datacenter Scale Distributed Inference Serving Framework

ArcticInference: vLLM plugin for high-throughput, low-latency inference

MiMo: Unlocking the Reasoning Potential of Language Model – From Pretraining to Posttraining

Democratizing Reinforcement Learning for LLMs

[ACL 2025 Long Main] Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions

NumPy aware dynamic Python compiler using LLVM

[NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.

A collection of GPT system prompts and various prompt injection/leaking knowledge.

FAIR Sequence Modeling Toolkit 2