许坚 (msgsxj)

msgsxj

Geek Repo

Company:AISpeech

Location:suzhou

Home Page:msgsxj.cn

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许坚's starred repositories

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:46441Issues:304Issues:658

google-research

Google Research

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:33735Issues:750Issues:1229

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Language:PythonLicense:MITStargazers:19446Issues:299Issues:1348

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:14635Issues:114Issues:382

PySyft

Perform data science on data that remains in someone else's server

Language:PythonLicense:Apache-2.0Stargazers:9419Issues:198Issues:3391

speechbrain

A PyTorch-based Speech Toolkit

Language:PythonLicense:Apache-2.0Stargazers:8487Issues:130Issues:1064

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Language:PythonLicense:NOASSERTIONStargazers:4715Issues:136Issues:305

RAdam

On the Variance of the Adaptive Learning Rate and Beyond

Language:PythonLicense:Apache-2.0Stargazers:2535Issues:58Issues:49

Painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

Language:PythonLicense:MITStargazers:2489Issues:37Issues:68

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

Language:PythonLicense:Apache-2.0Stargazers:1972Issues:40Issues:79

DNS-Challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

Language:PythonLicense:CC-BY-4.0Stargazers:1049Issues:49Issues:146

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Language:PythonLicense:BSD-3-ClauseStargazers:1017Issues:63Issues:201

Deep-Forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Language:PythonLicense:NOASSERTIONStargazers:906Issues:20Issues:92

smt

Surrogate Modeling Toolbox

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:666Issues:29Issues:149

invesalius3

3D medical imaging reconstruction software

Language:PythonLicense:GPL-2.0Stargazers:612Issues:38Issues:351

LiDAR-MOS

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

Language:PythonLicense:MITStargazers:575Issues:14Issues:74

FullSubNet

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

Language:PythonLicense:MITStargazers:530Issues:10Issues:61

gpuRIR

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

Language:CudaLicense:AGPL-3.0Stargazers:471Issues:10Issues:51

MS-SNSD

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

Language:HTMLLicense:MITStargazers:469Issues:20Issues:15

DynamicRouting

Learning Dynamic Routing for Semantic Segmentation

Language:PythonLicense:Apache-2.0Stargazers:376Issues:15Issues:40

torch-points3d

Pytorch framework for doing deep learning on point clouds.

Language:PythonLicense:NOASSERTIONStargazers:206Issues:1Issues:0

openai-teams-bot

An OpenAI Teams Bot app to let you chat with OpenAI API in Microsoft Teams, similar to ChatGPT Teams Bot app

HyperDenseNet_pytorch

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

dilated

Smoothed Dilated Convolutions for Improved Dense Prediction

Language:PythonLicense:MITStargazers:73Issues:3Issues:0

semetrics

Speech Enhancement Metrics (PESQ, CSIG, CBAK, COVL)

eigenlearning

codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"

Language:Jupyter NotebookStargazers:49Issues:6Issues:2
Language:PythonLicense:Apache-2.0Stargazers:15Issues:0Issues:0

Genetic-Programming-with-Rademacher-Complexity

Python code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Paper Link: https://ieeexplore.ieee.org/document/8790341

Language:PythonLicense:GPL-3.0Stargazers:13Issues:1Issues:0

jd_seckill-1

fork huanghyw/jd_seckill

License:GPL-3.0Stargazers:1Issues:0Issues:0