computational-graphs topic
essence
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
LightCTR
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...
moniel
Interactive Notation for Computational Graphs
SelfDrivingCar
A collection of all projects pertaining to different layers in the SDC software stack
tinyflow
Tutorial code on how to build your own Deep Learning System in 2k Lines
Model-Based-RL
Model-based Policy Gradients
TimeDag.jl
A computational graph for time-series processing.
Neuro_
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...
Neural-Networks
ICDSS Machine Learning Workshop Series: Neural Networks
ghn3
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]