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Oolong Milk Tea (Bcookie27)

Bcookie27

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tvb-library

DEPRECATED: Use tvb-root. The science behind The Virtual Brain

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PyTorch-Radial-Basis-Function-Layer

An implementation of an RBF layer/module using PyTorch.

Language:PythonLicense:MITStargazers:149Issues:0Issues:0

Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

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stable-diffusion-webui

Stable Diffusion web UI

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ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

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WALDO

Whereabouts Ascertainment for Low-lying Detectable Objects. The SOTA in FOSS AI for drones!

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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sktime

A unified framework for machine learning with time series

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bengal

Easy-to-use Go implementation of the multinomial Naive Bayes classifier for multilabel text classification.

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httplib2

Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.

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google-api-python-client

🐍 The official Python client library for Google's discovery based APIs.

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crypto-arbitrage-framework

A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.

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Deep-Convolution-Stock-Technical-Analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

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Pairs-Trading-With-Python

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

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SwapNet

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

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Horse-Racing

Use various machine learning algorithms to predict horse racing results.

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learntools

Tools and tests used in Kaggle Learn exercises

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ComputationalMathsNotes

Notes for Math3101/5305, a UNSW course on numerical methods for PDEs

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homebrew-cask

🍻 A CLI workflow for the administration of macOS applications distributed as binaries

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oddsapi

Python wrapper around The Odds-Api

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OA-and-Interviews

The guide to online assessments and interviews

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Aptitude

Aptitude Practice Questions

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probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

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crypto-arbitrage

Automatic Cryptocurrency Trading Bot using Triangular or Exchange Arbitrages

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binance-crypto-triangular-arbitrage

A profitable triangular arbitrage cycles finder.

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TriangularArbitrage

Detect triangular arbitrage opportunities within Binance price tickers

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Algorithm-Kelly

Calculate the fraction of a bankroll to bet

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Binance-volatility-trading-bot

This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.

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Options-Trading-Strategies-in-Python

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

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