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Starred repositories
Code for the book "The Elements of Differentiable Programming".
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 …
Alpaca’s official MCP server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
A toolkit for time series machine learning and deep learning
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Modular framework for building trading systems
Subset-Norm and Subset-Momentum. This repo is built on top of https://github.com/jiaweizzhao/GaLore.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Interactive visualizations of the geometric intuition behind diffusion models.
Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning
DeepEP: an efficient expert-parallel communication library
PrimoGPT: Finance Reinforcement Learning and Natural Language Processing
The Next-Gen Algorithmic Trading Framework 🚀 (Early Beta)
Minimalistic 4D-parallelism distributed training framework for education purpose
The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. …
Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO
Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages