Stars
The official code that integrates MagCache (Fast Video Generation with Magnitude-Aware Cache) with ComfyUI.
The official code for "MagCache: Fast Video Generation with Magnitude-Aware Cache"
This repository contains the official implementation of the paper "GL2GPU: Accelerating WebGL Applications via Dynamic API Translation to WebGPU", presented at WWW 2025. https://doi.org/10.1145/369…
A course of learning LLM inference serving on Apple Silicon for systems engineers.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
The implementation of RAGSynth: Synthetic Data for Robust and Faithful RAG Component Optimization
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
ShortcutsBench: A Large-Scale Real-World Benchmark for API-Based Agents
Unified Training of Universal Time Series Forecasting Transformers
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)
A Library for Advanced Deep Time Series Models.
Code for paper "Temporal Relational Ranking for Stock Prediction"
Performance analysis of predictive (alpha) stock factors
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
Simulating single-cell data using gene regulatory networks 📠
Code release for Universal Domain Adaptation(CVPR 2019)
Predict RNA velocity through deep learning
qitianwu / CaNet
Forked from fannie1208/CaNetCode for WWW2024 Oral paper "Graph Out-of-Distribution Generalization via Causal Intervention”.
NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Code for paper: "Removing Biases from Molecular Representations via Information Maximization"
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework