ricky1203's repositories
wondertrader
WonderTrader——量化研发交易一站式框架
libmatoya
Cross-platform application development.
lal
🔥 Golang audio/video live streaming library/client/server. support RTMP, RTSP(RTP/RTCP), HLS, HTTP[S]/WebSocket-FLV/TS, GB28181, H264/H265/AAC/G711, relay, cluster, record, HTTP Notify/API/UI. 直播
webtransport
WebTransport is a web API for flexible data transport
mdk-sdk
multimedia development kit. download:
cpp-ipc
C++ IPC Library: A high-performance inter-process communication using shared memory on Linux/Windows.
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
cheetah
Mac app for crushing remote tech interviews with AI
yuv-canvas
JS class to draw YUV image frame buffers to an HTML5 canvas
ib-gateway-docker
Docker image with IB Gateway and IBC
pytrendseries
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
lz4
Extremely Fast Compression algorithm
bokeh
Interactive Data Visualization in the browser, from Python
ice-demos
Sample programs for Ice
ice
Comprehensive RPC framework with support for C++, C#, Java, JavaScript, Python and more.
pyxel
A retro game engine for Python
quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
YAOF
OpenWrt for Nanopi R2C/R2S/R4S/X86
RobustVideoMatting
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
Python
All Algorithms implemented in Python
zvt
a lightweight modular quant framework
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
machine-learning-practice
机器学习、深度学习原理及实践
Rules
Rules / 规则:Surge / Shadowrocket / QuantumultX / Clash(X|A)
GHM_Loss
The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).