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Implementation of "Hyperspherical Latents Improve Continuous-Token Autoregressive Generation"
Graph Neural Network Library for PyTorch
Codes for WWW 2021 Paper-Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Productive, portable, and performant GPU programming in Python.
A simple tutorial of Lucene for LIS 501 Introduction to Text Mining students at the University of Wisconsin-Madison (Fall 2021).
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
Papers on Graph neural network(GNN)
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…
Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.
PAKDD AutoML challenge 2nd Feature Engineering Part
SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A tool for extracting plain text from Wikipedia dumps
Original Implementation of "Ranking Responses Oriented to Conversational Relevance in Chat-bots" COLING 2016
Original Implementation of "Ranking Responses Oriented to Conversational Relevance in Chat-bots" COLING 2016
xuehui1991 / nni
Forked from microsoft/nniAn open source toolkit for neural architecture search, hyper-parameter optimization and optimizer design.
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
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 …
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Parameter server framework for distributed machine learning
Style and Grammar Checker for 25+ Languages