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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Python toolkit for quantitative finance
Algorithmic Trading in Python with Machine Learning
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
An LSTM-based forecaster. Model automatically imports most recent close data via Yahoo Finance.
Python wrapper for TA-Lib (http://ta-lib.org/).
Comprehensive genome-wide visualization of absolute copy number and copy neutral variations
A list of interesting genome browser and genome visualization programs
Visualization and annotation of CNVs from population-scale whole-genome sequencing data
R package for inferring copy number from read depth
Copy number variant detection from targeted DNA sequencing
Runs a combination of tools to generate structural variant calls on whole-genome sequencing data
BICSEQ2 pipeline for processing CPTAC3 somatic WGS CNA
Structural variation caller using third generation sequencing
Control-FREEC: Copy number and genotype annotation in whole genome and whole exome sequencing data
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
scikit-learn: machine learning in Python
Models and examples built with TensorFlow
A latent text-to-image diffusion model
Megalodon is a research command line tool to extract high accuracy modified base and sequence variant calls from raw nanopore reads by anchoring the information rich basecalling neural network out…
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
A list of online resources for quantitative modeling, trading, portfolio management
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity