Tutorial code on how to build your own Deep Learning System in 2k Lines
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Oct 4, 2018 - C++
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computational-graphs
Here are 51 public repositories matching this topic...
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
distributed-systems machine-learning deep-learning factorization-machines computational-graphs parameter-server model-compression
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Jun 17, 2019 - C++
Interactive Notation for Computational Graphs
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Apr 24, 2020 - JavaScript
A collection of all projects pertaining to different layers in the SDC software stack
opencv deep-neural-networks computer-vision deep-learning tensorflow scikit-learn keras scikit-image python3 classification self-driving-car deep-learning-library behavioral-cloning backpropagation computational-graphs lane-lines-detection vehicle-detection-and-tracking lane-tracking
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Apr 15, 2018 - Jupyter Notebook
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
machine-learning reinforcement-learning deep-learning recurrent-neural-networks lstm dropout mnist neural-turing-machines question-answering cartpole lstm-model lenet convolutional-networks convolutional-neural-networks deep-q-network computational-graphs auto-differentiation
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Feb 27, 2020 - Python
Strongly-typed, dependency based application framework for code/data separation with dependency injection and data passing.
graphviz embedded dependency-injection readability sensor-fusion strongly-typed computational-graphs kalman-filter
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Dec 5, 2018 - C++
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 single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).
neural-network gan dcgan autoencoder adaptive pix2pix computational-graphs cudnn fast-neural-style adain neuro neural-style-transfer ada-in adaptive-style-transfer
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May 22, 2021 - C++
Model-based Policy Gradients
reinforcement-learning openai-gym pytorch computation-graph gym policy-gradient finite-difference backpropagation computational-graphs mujoco model-based ilqg ilqr ilqg-mujoco mujoco-py policy-gradients policy-optimization direct-policy-search mujoco-dynamics
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Mar 12, 2020 - Python
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
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Aug 27, 2024 - Shell
A computational graph for time-series processing.
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Dec 25, 2024 - Julia
ICDSS Machine Learning Workshop Series: Neural Networks
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Nov 28, 2017 - Jupyter Notebook
See how backpropagation and chain rule work in neural networks
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Apr 12, 2024 - TypeScript
Auto-differentiation library for javascript
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Mar 4, 2021 - TypeScript
Computational graph-based discrete choice models
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Jul 4, 2022 - Python
C++ API to create Neural Nets using Eigen library
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Sep 13, 2020 - C++
Computation Graph framework implemented using only NumPy
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Mar 31, 2024 - Python
Automatic differentiation in python
learning machine-learning tutorial deep-learning neural-network backpropagation computational-graphs
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Jun 21, 2022 - Python
Parameter Estimation of LOGIT-based Stochastic User Equilibrium models using computational graphs and day-to-day system-level data
machine-learning tensorflow transportation network-analysis computational-graphs simulation-modeling
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Jan 31, 2024 - Python
A simple Java AI library for personal use.
machine-learning deep-neural-networks ai deep-learning ml convolutional-neural-networks backpropagation computational-graphs
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Jul 19, 2017 - Java
Network-wide estimation of traffic flow and travel time with data-driven macroscopic models
machine-learning tensorflow neural-networks computational-graphs transportation-network large-scale-optimization
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Dec 14, 2024 - Python
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