Pinned Repositories
alphalens
Performance analysis of predictive (alpha) stock factors
augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
autogluon
AutoGluon: AutoML for Image, Text, and Tabular Data
awesome-implicit-representations
A curated list of resources on implicit neural representations.
awesome-latex-drawing
Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.
backtrader
Python Backtesting library for trading strategies
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
dockerfile-ubuntu-gnome
drl-portfolio-management
CSCI 599 deep learning and its applications final project
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
BlueMatrix007's Repositories
BlueMatrix007/autogluon
AutoGluon: AutoML for Image, Text, and Tabular Data
BlueMatrix007/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
BlueMatrix007/awesome-implicit-representations
A curated list of resources on implicit neural representations.
BlueMatrix007/ContrastiveCrop
[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
BlueMatrix007/Deep-Probabilistic-Koopman
Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty
BlueMatrix007/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
BlueMatrix007/diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
BlueMatrix007/FinMem-LLM-StockTrading
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
BlueMatrix007/gluon-ts
Probabilistic time series modeling in Python
BlueMatrix007/HFT_price_level_forecasting
high frequency forecasting of stock prices using LSTM, SVR, Random forests, KNN regressor and Kalman filter
BlueMatrix007/intro_dgm
An Introduction to Deep Generative Modeling: Examples
BlueMatrix007/latex-templates
A collection of LaTeX templates used for research, courses, and miscellanea.
BlueMatrix007/lightning-transformers
Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning
BlueMatrix007/mc_gradients
BlueMatrix007/Mid-price-Prediction-Based-on-High-Frequency-Data
Mid-Price Forecasting of Limit Order Book Data
BlueMatrix007/mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
BlueMatrix007/mystery_demo
BlueMatrix007/nce
Noise Contrastive Estimation (NCE) in PyTorch
BlueMatrix007/probml-notebooks
Notebooks for "Probabilistic Machine Learning" book
BlueMatrix007/pybats
Bayesian time series forecasting and decision analysis
BlueMatrix007/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
BlueMatrix007/pyro
Deep universal probabilistic programming with Python and PyTorch
BlueMatrix007/Pyro-M5-Starter-Kit
Learn Pyro through the M5 forecasting competition
BlueMatrix007/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
BlueMatrix007/sandbox
Pyro models and misc examples.
BlueMatrix007/state-spaces
Sequence Modeling with Structured State Spaces
BlueMatrix007/TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
BlueMatrix007/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
BlueMatrix007/trochdyn_tutorials
BlueMatrix007/tsgm
Generative modeling of synthetic time series data and time series augmentations