Remove Backgroud from a video 🧤🎥

A kubernetes operator for managing nvidia MIG instances.

Z-AI V1.4 发行版本

ClusterOps is an enterprise-grade Python library developed and maintained by the Swarms Team to help you manage and execute agents on specific CPUs and GPUs across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.

Dataset and code for "Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning"

Implement named entity recognition (NER) using regex and fine-tuned LLM, with a total of 15 categories. The ultimate goal is to apply the model to detect personally identifiable information (PII) in student writing.

Implementing science-related multiple-choice question answering based on LLMs and RAG.

Found out that using A100 and V100 on Vicuna and Llama2 have a different result, while other model such as Falcon doesn't has such question.

Text to Image Gen [ Demo ]

This competition challenges you to predict which responses users will prefer in a head-to-head battle between chatbots powered by large language models (LLMs).

CLI tool to check Oracle Cloud compute shape availability - find GPU capacity (A100, H100) across regions

Analyze a dataset of conversations from the Chatbot Arena, where various LLMs provide responses to user prompts. The goal is to develop a model that enhances chatbot interactions, ensuring they align more closely with human preferences.

Performance of CUDA example benchmark code on NVIDIA A100.

Transformer implementation in pytorch trained on NVIDIA A100 in fp16

Patent-pending K8s DaemonSet that validates GPU nodes via GEMM latency, fail-slow CV detection, and NVLink ring profiling before Slurm resumes them

This competition focuses on developing accurate motion forecasting models using the Argoverse 2 Motion Forecasting Dataset.

[2024Fall CSE291-DSC253 Advanced Data-Driven Text Mining] You are asked to design models to predict the restaurant type using the observed variables.

Dynamic open-source Google Sheets tables inspired by the famous Hive Systems ones. Just input the H/s/GPU data.

When you only have limited amount of GPU workstation and using it together, reservation is better done with this.

GPU profiling suite & CUDA kernels on A100 80GB — ResNet-50 benchmarks, Nsight Systems profiling, tiled matrix multiplication with shared memory

Enterprise-grade Power BI dashboard for tracking AI infrastructure unit economics. Features real-time GPU profitability ratios, idle waste detection (Zombie GPUs), and ESG carbon footprint reporting.

NVIDIA GPU Instance installer for docker container runtime access and preinstall script environment

Production-grade health monitoring and predictive fault management system for NVIDIA A100/H100 GPU fleets

Hardware-aware CNN training performance predictor for CIFAR-10 on NVIDIA A100—learns sec/epoch from config features and derives throughput (images/sec) from predicted time.

Build a cloud-based Trade Scaling Software inspired by the provided architecture diagram — designed for futures traders who require real-time trade mirroring, transparency, and scalability.

An implementation of Speculative RAG exploring latency-quality trade-offs in multi-draft retrieval. Features batched parallel drafting via vLLM and log-probability verifier selection for fast, high-quality QA on a single A100 GPU.

DeBERTa-Large Text Classification Pipeline A full-scale, reproducible text classification pipeline built on DeBERTa-Large, trained on large benchmark datasets (HC3 and WikiText-103) to achieve high accuracy (≥98%) under a fixed decision threshold of 0.10. The project emphasizes methodological rigor, calibration-aware evaluation, and reproducibilit