Ongoing research training transformer models at scale

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

Post-training with Tinker

A large-scale benchmark for machine learning methods in fluid dynamics

Research code artifacts for Code World Model (CWM) including inference tools, reproducibility, and documentation.

Learn OpenCV : C++ and Python Examples

This is a speech interaction system built on an open-source model, integrating ASR, LLM, and TTS in sequence. The ASR model is SenceVoice, the LLM models are QWen2.5-0.5B/1.5B, and there are three …

A generative speech model for daily dialogue.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications

TSGBench: Time Series Generation Benchmark (VLDB'24)

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Large Language & Foundation Models for Time Series.

verl: Volcano Engine Reinforcement Learning for LLMs

Filtered - PCMCI (F-PCMCI) causal discovery algorithm. Extension of the PCMCI causal discovery algorithm augmented with a feature selection method.

Causal Neural Nerwork

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

The code Implementation of the paper “KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks".

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

An implementation of chunked, compressed, N-dimensional arrays for Python.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / U…

Janus-Series: Unified Multimodal Understanding and Generation Models

A curated list of paper, code, data, and other resources focus on multimodal time series analysis.

Lightweight, useful implementation of conformal prediction on real data.

Official implementation of [NeurIPS 2024] Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题