GitHub - salesforce/warp-drive: Extremely Fast End-to-End Deep Multi-Agent ...

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU - GitHub - sale...

0 users, 3 mentions 2021/09/17 15:09
GPU1枚、1日未満で学習!超高速学習GAN、「Lightweight GAN」 | AI-SCHOLAR | AI:(人工知能)論文・技術情報メディ...

3つの要点✔️ Skip-Layer Excitationとself-supervised Discriminatorを提案し、パラメータの大幅削減に成功✔️ 少量データでも学習可能✔️ 1024×1...

28 users, 6 mentions 2020/12/04 12:01
Learning to Rank with XGBoost and GPU | NVIDIA Developer Blog

XGBoost is a widely used machine learning library, which uses gradient boosting techniques to increm...

0 users, 5 mentions 2020/02/14 23:19
Machine Learning Benchmark Set with IBM POWER9 and GPUs

IBM scientists reported a breakthrough using POWER9 with NVIDIA V100 GPUs with a new library for hig...

0 users, 0 mentions 2018/04/23 11:41
Searching for a_robust_neural_architecture_in_four_gpu_hours

1Copyright © Acroquest Technology Co., Ltd. All rights reserved. Searching for A Robust Neural Archi...

1 users, 5 mentions 2019/06/30 05:16
PyTorch to JAX 移行ガイド(GPUでのCNN学習 | BatchNorm編)

Python deeplearning PyTorch # jax tech 背景 前回: PyTorch to JAX 移行ガイド(MLP学習編) JAXベースのNNライブラリであるFl...

1 users, 3 mentions 2021/10/02 15:09
Mastering Fast Gradient Boosting on Google Colaboratory with free GPU

Learn how to easily and quickly train Gradient Boosted Decision Trees on a GPU.

0 users, 3 mentions 2019/02/27 20:20
誰でも出来る!DeepLab v3+でGPUを使って自作データセットで学習・推論する - QiitaQiita

# はじめに DeepLab v3+はセマンティックセグメンテーションのための最先端のモデルです。 この記事では、DeepLab v3+の[github](https://github.com/te...

3 users, 6 mentions 2019/10/25 23:20
GitHub - damitkwr/ESRNN-GPU: PyTorch GPU implementation of the ES-RNN model...

PyTorch GPU implementation of the ES-RNN model for time series forecasting - damitkwr/ESRNN-GPU

2 users, 0 mentions 2020/03/08 14:21
MegatronLM: Training Billion+ Parameter Language Models Using GPU Model Par...

We train an 8.3 billion parameter transformer language model with 8-way model parallelism and 64-way...

1 users, 23 mentions 2019/08/13 00:00