Dex aggregator on Solana

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Schedule-Free Optimization in PyTorch

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Code for "Is There a Replication Crisis in Finance" by Jensen, Kelly and Pedersen (2023)

Storing time-series data in gcp

Ribbon V2 for Theta Vaults

python repo to create blockchain CSVs

Minimal implementation and experiments of "No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging".

Accelerate PyTorch models with ONNX Runtime

FinRL®: Financial Reinforcement Learning. 🔥

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Mastering Atari with Discrete World Models

A curated list of resources for Learning with Noisy Labels

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

list of papers, code, and other resources

The entmax mapping and its loss, a family of sparse softmax alternatives.

High-performance TensorFlow library for quantitative finance.

Tensorflow's Fairness Evaluation and Visualization Toolkit

[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

Fast Differentiable Sorting and Ranking