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2d-fourier-transforms-in-python

3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

a-tour-of-pytorch-optimizers

A tour of different optimization algorithms in PyTorch.

ae_vae_gan

ai-traiding

Neural Networks in Algotraiding

ai_tr_libs

Additional libs for AI and algorithmic trading scripts

aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

algorithms

:computer: Data Structures and Algorithms in Python

algorithms-1

This repository is not maintained

alphalens

Performance analysis of predictive (alpha) stock factors

aml-final-project

an-application-of-deep-reinforcement-learning-to-algorithmic-trading

Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"

ands

Algorithms and data structures for educational, demonstrational and experimental purposes.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

attention-pytorch

注意力机制实践

auto_ts

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

autocast

Forecasting Future World Events with Neural Networks

awesome-colab-notebooks

Collection of google colaboratory notebooks for fast and easy experiments

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

cifrum

Flexible and easy-to-use Python library for analysis & manipulation with financial & economic data

clearml_integration

clip

Contrastive Language-Image Pretraining

coursera_gans

The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.

cryptocurrencyprediction

Predict Cryptocurrency Price with Deep Learning

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deep-learning-specialization--coursera

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-portfolio-management

Source code for the blog post on the evolution of the asset allocation methods