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MambaStock: Selective state space model for stock prediction
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
THIS PROJECT HAS BEEN MOVED: https://github.com/strongio/torchcast
Code Repository for Liquid Time-Constant Networks (LTCs)
Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
All files for research proposal and bachelor thesis on Quantum Machine Learning at the University of KwaZulu-Natal in Durban, South Africa.
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
A mini-library for training consistency models.
Karras et al. (2022) diffusion models for PyTorch
PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.
This repository contains tutorials and examples for Triton Inference Server
Serve, optimize and scale PyTorch models in production
Turn (almost) any Python command line program into a full GUI application with one line
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
A repository of resources used in our tutorials and guides ⚡️
Official repo for consistency models.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch