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101
wzzheng

[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.

1.3kPythonApache-2.0125
102
muzishen

[AAAI 2025]👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing. It enables customizable human image generation with flexible garment, pose, and scene control, ensuring high fidelity and garment consistency for virtual dressing.

1.3kPythonApache-2.0120
datasetsdiffusion-modelstext-to-image-generationtry-on
103
llazzaro

A calendaring app for Django.

1.3kPythonBSD-3-Clause402
calendaringevent-calendar
104
linyiLYi

A simple toy demo of a local voice assistant with whisper and large language model.

1.3kPythonApache-2.0213
105
osprey-oss

Find unused, missing and transitive dependencies in a Python project.

1.3kPythonMIT38
cicddependenciespep621poetrypython+1
106
python-zk

Kazoo is a high-level Python library that makes it easier to use Apache Zookeeper.

1.3kPythonApache-2.0393
pythonzookeeperzookeeper-client
107
msracver

Deep Feature Flow for Video Recognition

1.3kPythonMIT295
108
stephenmcd

WebSockets for Django

1.3kPythonBSD-2-Clause241
109
hustvl

[CVPR 2025 Highlight] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving

1.3kPythonMIT123
110
pur1fying

支持按轴凹总力战, 无缝制造三解, 用于实现蔚蓝档案自动化的程序( Steam已适配 )

1.3kPythonGPL-3.086
automationbluearchiveguionnxruntimeopencv+4
111
wbopan

moffee: Make Markdown Ready to Present

1.3kPythonMIT65
cli-appmarkdownpresentationslideshow-maker
112
Pointcept

[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes

1.3kPythonMIT82
113
dreamzero0

Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals

1.3kPythonApache-2.083
114
commonsense
1.3kPythonNOASSERTION144
115
facebookresearch

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

1.3kPythonNOASSERTION188
116
defunkt

Mustache in Python

1.3kPythonMIT309
117
zxcvbn001

口令爆破字典,有键盘组合字典、拼音字典、字母与数字混合这三种类型

1.3kPython336
118
Data-Learn

Getting Started with Data Enngineering

1.3kPythonMIT579
119
ikostrikov

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

1.3kPythonMIT281
a3cactor-criticasynchasynchronous-advantage-actor-criticasynchronous-methods+6
120
nlpyang

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

1.3kPythonMIT458

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