Shunta Saito (mitmul)

mitmul

Geek Repo

Company:@pfnet

Location:Tokyo, Japan

Home Page:https://mitmul.github.io/

Twitter:@mitmul

Github PK Tool:Github PK Tool


Organizations
chainer
cupy
pfnet
pfnet-research

Shunta Saito's repositories

deeppose

DeepPose implementation in Chainer

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ssai-cnn

Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymyr Mnih's methods

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pynvvl

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

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burn-captions

Burn captions (.srt) into videos

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mlx-plamo

An example of generating text with PLaMo-13b using MLX

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openmpi-cuda-bins

Pre-built binaries of OpenMPI w/ CUDA & verbs options

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chainercv

ChainerCV: a Library for Computer Vision in Deep Learning

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consistency_models

Official repo for consistency models.

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cupy

NumPy-like API accelerated with CUDA

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

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img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

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jupyterlab

JupyterLab computational environment.

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kornia

Open Source Differentiable Computer Vision Library for PyTorch

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mallet

TCP tunnel that works like VPN

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mlx-examples

Examples in the MLX framework

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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pfio

IO library to access various filesystems with unified API

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ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

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s3fs

S3 Filesystem

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tfrecord-viewer

TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.

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UniverseNet

Object detection. EfficientDet-D5 level COCO AP in 20 epochs. SOTA single-stage detector on Waymo Open Dataset.

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vision

Datasets, Transforms and Models specific to Computer Vision

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YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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