Serge Panev

@Kh4L · User

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@NVIDIASF Bay Area31 followers65 repositories

Repositories

Kh4L/pi-mono

AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries, Slack bot, vLLM pods

★ 0TypeScriptForks 0

Kh4L/relbench

RelBench: Relational Deep Learning Benchmark

★ 1PythonForks 0

Kh4L/raft

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 high performance applications.

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Kh4L/NemoRL

Scalable toolkit for efficient model reinforcement

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Kh4L/vllm

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

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Kh4L/NemoGym

Build RL environments for LLM training

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Kh4L/NemoClaw

Run OpenClaw more securely inside NVIDIA OpenShell with managed inference

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Kh4L/OpenShell

OpenShell is the safe, private runtime for autonomous AI agents.

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Kh4L/claw-code

The fastest repo in history to surpass 50K stars ⭐, reaching the milestone in just 2 hours after publication. Better Harness Tools that make real things done. Now writing in Rust using oh-my-codex.

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Kh4L/autoresearch

AI agents running research on single-GPU nanochat training automatically

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Kh4L/sglang

SGLang is a fast serving framework for large language models and vision language models.

★ 0PythonForks 0

Kh4L/kg-gen

Knowledge Graph Generation from Any Text

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Kh4L/faiss

A library for efficient similarity search and clustering of dense vectors.

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Kh4L/pyg-lib

Low-Level Graph Neural Network Operators for PyG

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Kh4L/transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

★ 1PythonForks 0

Kh4L/open-r1

Fully open reproduction of DeepSeek-R1

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Kh4L/gfm-rag

Graph Foundation Model for Retrieval Augmented Generation

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Kh4L/rnn

Custom C++ vanilla RNN implementation with Eigen

★ 4C++Forks 1

Kh4L/SubgraphRAG

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

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Kh4L/onnx

Open standard for machine learning interoperability

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Kh4L/stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

★ 1PythonForks 0

Kh4L/stable_diffusion_playground

Playing around with stable diffusion. Generated images are reproducible because I save the metadata and latent information. You can generate and then later interpolate between the images of your choice.

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