#计算机科学#Tutorial code on how to build your own Deep Learning System in 2k Lines
#计算机科学#Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communicat...
#计算机科学#Interactive Notation for Computational Graphs
#计算机科学#A collection of all projects pertaining to different layers in the SDC software stack
#计算机科学#AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
Strongly-typed, dependency based application framework for code/data separation with dependency injection and data passing.
C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports ...
#计算机科学#Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
Model-based Policy Gradients
#时序数据库#A computational graph for time-series processing.
ICDSS Machine Learning Workshop Series: Neural Networks
See how backpropagation and chain rule work in neural networks
#计算机科学#Computational graph-based discrete choice models
Auto-differentiation library for javascript
C++ API to create Neural Nets using Eigen library
Computation Graph framework implemented using only NumPy
#学习与技能提升#Automatic differentiation in python
#计算机科学#Parameter Estimation of LOGIT-based Stochastic User Equilibrium models using computational graphs and day-to-day system-level data
#大语言模型#ChainGraph is a source available, type-safe flow-based programming framework for building AI LLM agents with complex logic and dynamic computational graphs.
#计算机科学#Network-wide estimation of traffic flow and travel time with data-driven macroscopic models