karolisjan's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
keras-team/keras
Deep Learning for humans
trailofbits/algo
Set up a personal VPN in the cloud
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
shap/shap
A game theoretic approach to explain the output of any machine learning model.
ivy-llc/ivy
The Unified ML Representation
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
quantopian/pyfolio
Portfolio and risk analytics in Python
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
whittlem/pycryptobot
Python Crypto Bot (PyCryptoBot)
davda54/sam
SAM: Sharpness-Aware Minimization (PyTorch)
firmai/machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
quantopian/empyrical
Common financial risk and performance metrics. Used by zipline and pyfolio.
pykalman/pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
lopusz/awesome-interpretable-machine-learning
the-black-knight-01/Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
marcotcr/anchor
Code for "High-Precision Model-Agnostic Explanations" paper
damitkwr/ESRNN-GPU
PyTorch GPU implementation of the ES-RNN model for time series forecasting
florencejt/fusilli
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
strawlab/best
Bayesian estimation supersedes the t test
miroblog/limit_orderbook_prediction
AntoineTheb/RNN-RL
Experiments with reinforcement learning and recurrent neural networks
gautham20/pytorch-ts
Tutorials on using encoder decoder architecture for time series forecasting
kvsnoufal/portfolio-optimization
hamaadshah/market_risk_gan_tensorflow
Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
guocheng18/FTRL-pytorch
Implementation of FTRL (Follow the Regularized Leader)
siekmanj/r2l
Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
szdr/pytorch-listnet