An agentic skills framework & software development methodology that works.

Manage multiple Claude Code, OpenCode agents from either TUI or Web for easy access on mobile. Also supports Mistral Vibe, Codex CLI, Gemini CLI, Pi.dev, Copilot CLI, Factory Droid Coding.

🚀 An awesome list of curated Nano Banana pro prompts and examples. Your go-to resource for mastering prompt engineering and exploring the creative potential of the Nano banana pro(Nano banana 2) AI…

Explorations into NEAT and some of its derivative research

Communicate with an LLM provider using a single interface

A single interface to use and evaluate different agent frameworks

Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper

Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch

Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster

The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch

Implementation of the paper "In-context Time Series Predictor" (ICLR 2025)

Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch

Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public

Implementation of Soft Actor Critic and some of its improvements in Pytorch

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

A Python package for easy multiprocessing, but faster than multiprocessing

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

Resources about time series forecasting and deep learning.

Self-hosted AI coding assistant

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Time series forecasting with PyTorch

A playbook for systematically maximizing the performance of deep learning models.

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

A python library for user-friendly forecasting and anomaly detection on time series.

Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch

Awesome resources on normalizing flows.