973 skills found · Page 1 of 33
seerge / G HelperLightweight, open-source control tool for ASUS laptops and ROG Ally. Manage performance modes, fans, GPU, battery, and RGB lighting across Zephyrus, Flow, TUF, Strix, Scar, and other models.
jy0205 / Pyramid Flow[ICLR 2025] Pyramidal Flow Matching for Efficient Video Generative Modeling
yifan123 / Flow Grpo[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL
VAST-AI-Research / TripoSGTripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
AgentEra / Agently[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code
kyutai-labs / HibikiHibiki is a model for streaming speech translation (also known as simultaneous translation). Unlike offline translation—where one waits for the end of the source utterance to start translating--- Hibiki adapts its flow to accumulate just enough context to produce a correct translation in real-time, chunk by chunk.
willisma / SiTOfficial PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"
haidog-yaqub / MeanFlowPytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.
Eyeline-Labs / Go With The FlowThe official implementation of CVPR'25 Oral paper "Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise"
fallenshock / FlowEditOfficial implementation of the paper: "FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models"
cloudera / FlumeWE HAVE MOVED to Apache Incubator. https://cwiki.apache.org/FLUME/ . Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. The system is centrally managed and allows for intelligent dynamic management. It uses a simple extensible data model that allows for online analytic applications.
VincentStimper / Normalizing FlowsPyTorch implementation of normalizing flow models
Newbeeer / Poisson FlowCode for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)
kuwala-io / KuwalaKuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times
center-for-threat-informed-defense / Attack FlowAttack Flow helps executives, SOC managers, and defenders easily understand how attackers compose ATT&CK techniques into attacks by developing a representation of attack flows, modeling attack flows for a small corpus of incidents, and creating visualization tools to display attack flows.
dimastatz / Whisper FlowWhisper-Flow is a framework designed to enable real-time transcription of audio content using OpenAI’s Whisper model. Rather than processing entire files after upload (“batch mode”), Whisper-Flow accepts a continuous stream of audio chunks and produces incremental transcripts immediately.
v-iashin / Video FeaturesExtract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
hmorimitsu / PtlflowPyTorch Lightning Optical Flow models, scripts, and pretrained weights.
bcmi / DCI VTON Virtual Try On[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.
nihaomiao / CVPR23 LFDMThe pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"
