forward-thinking-pytorch
Layer-by-layer training method
An implementation of a novel neural network training method that builds and trains networks one layer at a time.
Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
66 stars
7 watching
8 forks
Language: Python
last commit: almost 8 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 tobiascz/mnist_pytorch_python_and_capi | An example project demonstrating how to train and deploy a neural network in Python and C++ using PyTorch 1.0 | 96 |
 learning-at-home/hivemind | A PyTorch library for decentralized deep learning across the Internet. | 2,078 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 erotemic/netharn | A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments. | 40 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 572 |
 minqi/learning-to-communicate-pytorch | This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 349 |
 achaiah/pywick | A PyTorch-based neural network training framework with advanced features and utilities | 398 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |
 atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 |
 neuralhydrology/neuralhydrology | A Python library for training neural networks with focus on hydrological applications using PyTorch. | 372 |
 clementpinard/sfmlearner-pytorch | Pytorch implementation of unsupervised depth and ego-motion learning from video sequences | 1,022 |
 pkmr06/pytorch-smoothgrad | PyTorch implementation of a technique to improve the interpretability of deep learning models by adding noise to the gradients | 168 |
 pemami4911/neural-combinatorial-rl-pytorch | An implementation of Neural Combinatorial Optimization with Reinforcement Learning using PyTorch. | 562 |