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Résultats · “torch”

23 Skills

Résultats: 23

Matériel et IoT

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Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Prix non confirméMatériel et IoTÀ vérifier avant usage
1,2 kGitHub
Matériel et IoT

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Ros2 Torch Trt

NVIDIA-AI-IOT

ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms

Prix non confirméMatériel et IoTÀ vérifier avant usage
119GitHub
Développement

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Torch Conv Kan

IvanDrokin

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convo…

Prix non confirméDéveloppementÀ vérifier avant usage
530GitHub
IA et connaissances

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Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reprod…

Prix non confirméIA et connaissancesClaude Code
395GitHub
IA et connaissances

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Run an arbitrary Hugging Face safetensors model on an Intel GPU using **upstream PyTorch** (>= 2.8) with the built-in `torch.xpu` device. Covers loading from the Hub, pi…

Prix non confirméIA et connaissancesClaude CodeOpenAI Agents
21GitHub
Recherche

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Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mix…

Prix non confirméRecherche
1,4 kGitHub
Recherche

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ray-data

OpenRaiser

Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales f…

Prix non confirméRecherche
1,4 kGitHub
Design et UI

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deepchem

K-Dense-AI

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featuriza…

Prix non confirméDesign et UIClaude Code
43,5 kGitHub
Développement

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pyvene-interventions

Orchestra-Research

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation…

Prix non confirméDéveloppementClaude Code
13,4 kGitHub

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