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surper518's Projects

onetbb icon onetbb

oneAPI Threading Building Blocks (oneTBB)

onnxruntime icon onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

openfst icon openfst

Read-only unofficial mirror of OpenFst

openjpeg icon openjpeg

Official repository of the OpenJPEG project

pcl icon pcl

Point Cloud Library (PCL)

peer-stream icon peer-stream

Lightweight WebRTC SDK for UnrealEngine's PixelStreaming

pixijs icon pixijs

The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.

rath icon rath

Next generation of automated data exploratory analysis and visualization platform.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rocket.chat icon rocket.chat

The communications platform that puts data protection first.

seafile icon seafile

High performance file syncing and sharing, with also Markdown WYSIWYG editing, Wiki, file label and other knowledge management features.

shap-e icon shap-e

Generate 3D objects conditioned on text or images

smarterstreaming icon smarterstreaming

跨平台的视频采集、直播SDK(支持Windows/android/iOS),也许是国内最靠谱的视频直播推流、播放SDK之一,助您轻松实现类似于花椒、映客、斗鱼手机直播推送与播放。

softgym icon softgym

SoftGym is a set of benchmark environments for deformable object manipulation.

sole icon sole

:doughnut: Sole is a lightweight C++11 library to generate universally unique identificators (UUID), both v1 and v4.

speex icon speex

Speex voice codec mirror - THIS IS A MIRROR, DEVELOPMENT HAPPENS AT https://gitlab.xiph.org/xiph/speex

speexdsp icon speexdsp

Speex audio processing library - THIS IS A MIRROR, DEVELOPMENT HAPPENS AT https://gitlab.xiph.org/xiph/speexdsp

srs icon srs

SRS is a simple, high efficiency and realtime video server, supports RTMP, WebRTC, HLS, HTTP-FLV and SRT.

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us

supertuxparty icon supertuxparty

just a fork from GitLab, not mine!!! (I excluded big files, as it takes 2.5GB!)

svoice icon svoice

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

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