label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! Very tiny! Stock Market Financial Technical Analysis Python library . Quant Trading automation or cryptocoin exchange
An implementation of MobileNetV3 with pyTorch
Trading bot for Binance exchange using EMA cross strategy on 1D, 4h, and 1h timeframes. Analyzes 4yrs of coin prices to select profitable EMA cross. Auto-identifies accumulation and bullish phases. Has web dashboard and Telegram alerts.
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
Stochastic Weight Averaging - TensorFlow implementation
Easy-to-read implementation of self-supervised learning using vision transformer and knowledge distillation with no labels - DINO 😃
Fast and simple post-hoc EMA (Karras et al., 2023) for PyTorch with minimal `.item()` calls. ~78% lower overhead than ema_pytorch.
MVIEW-compatible Electro-Magnetic Articulography (EMA) data viewer written in Python
Implementation of Boosting Certified $\ell_\infty$-dist Robustness with EMA Method and Ensemble Model
Automated browser to download drug adverse reaction reports from the European Database of Suspected Adverse Reactions Reports (EudraVigilance)
A simple template for classifying things
Double Exponential Moving Average for analysis based on Average True Range indicators
some tricks for sentence representation
EMA-VWAP crossover trading strategy in Python
An algorithmic cryptocurrency bot using macd strategy
Group biomedical records from different sources (PubMed, CTgov, EMA drug register) based on the drug and disease entities mentioned in them.
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