lowzhao

lowzhao's Stars

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python7.5k1.3k

• myhhub/stock

  stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。

  Language:Python7.3k1.4k

• liveblocks/liveblocks

  Liveblocks provides customizable pre‑built features that boost user engagement by adding collaboration to your product. All without derailing your roadmap.

  Language:TypeScript3.7k306

• up-for-grabs/up-for-grabs.net

  This is a list of projects which have curated tasks specifically for new contributors. These issues are a great way to get started with a project, or to help share the load of working on open source projects. Jump in!

  Language:JavaScript5.5k2.1k

• protocolbuffers/protobuf

  Protocol Buffers - Google's data interchange format

  Language:C++66.3k15.6k

• google/googletest

  GoogleTest - Google Testing and Mocking Framework

  Language:C++35.3k10.2k

• google/glog

  C++ implementation of the Google logging module

  Language:C++7.2k2.1k

• abseil/abseil-cpp

  Abseil Common Libraries (C++)

  Language:C++15.3k2.7k

• alexellis/k3sup

  bootstrap K3s over SSH in < 60s 🚀

  Language:Go6.4k381

• leaningtech/webvm

  Virtual Machine for the Web

  Language:Svelte11.3k1.7k

• davidrmiller/biosim4

  Biological evolution simulator

  Language:C++3.2k463

• Lux-AI-Challenge/Lux-Design-S1

  Home to the design and engine of the @Lux-AI-Challenge Season 1, hosted on @kaggle

  Language:Jupyter Notebook903152

• kevinkangkang/gitbook-plugin-mathjax-pro

  Mathjax pro plugin for gitbook.

  Language:JavaScript9

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python8.1k1.4k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript29.1k2.8k

• RbkGh/Free-Algorithm-Books

  858

• Parsl/parsl

  Parsl - a Python parallel scripting library

  Language:Python522199

• sibasmarak/Emotion-Recognition-from-brain-EEG-signals-

  Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.

  Language:Jupyter Notebook73

• mne-tools/mne-python

  MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

  Language:Python2.8k1.3k

• bitgapp/eqMac

  macOS System-wide Audio Equalizer & Volume Mixer 🎧

  Language:Swift5.8k332

• lalamove/challenge

  Language:JavaScript6385

• shellmik/Tetris-Fighter

  Project for CS3343 Software Engineering Practice

  Language:Java73

• paulmorio/deap_analysis

  DEAP Dataset Analysis Code

  Language:Jupyter Notebook4911

• google-research/planet

  Learning Latent Dynamics for Planning from Pixels

  Language:Python1.2k202

• qgrad/qgrad

  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.

  Language:Python4312

• jarun/googler

  :mag: Google from the terminal

  Language:Python6.1k533

• ryanyen2/DSCWeb

  dsc web for cityu

  Language:Vue2

• GoogleWebComponents/google-chart

  Google Charts API web components

  Language:TypeScript361130

• plfa/plfa.github.io

  An introduction to programming language theory in Agda

  Language:Agda1.4k321

• agda/agda

  Agda is a dependently typed programming language / interactive theorem prover.

  Language:Haskell2.6k364