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This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data
STUMPY is a powerful and scalable Python library for modern time series analysis
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Implementation of MPSleepNet, a robust deep learning model for precise classification of sleep stages using polysomnography data.
Implementation of papers in 100 lines of code.
Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
Optimized Pattern Matching Library for Common Lisp
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
Pen event interception for line smoothing on the reMarkable 2 tablet
Distribute and run LLMs with a single file.
A PyTorch implementation of EfficientNet
Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Share and view high-resolution images effortlessly
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
Implementation of "Analyzing and Improving the Training Dynamics of Diffusion Models"
Implementation of Denoising Diffusion Probabilistic Model in Pytorch