Artificial Intelligence Deep Learning Machine Learning Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
A torch implementation of "Pixel-Level Domain Transfer"
Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。
Spatio-Temporal Action Localization System
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
PyTorch dataset extended with map, cache etc. (tensorflow.data like)
[CVPR 2017] Torch code for Visual Dialog
R Interface to Torch
Open Source Neural Machine Translation in Torch (deprecated)
Oriented Response Networks, in CVPR 2017
Visualizer for neural network, deep learning, and machine learning models
Towards Neural Phrase-based Machine Translation
Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
DCT (discrete cosine transform) functions for pytorch
Point cloud semantic segmentation via Deep 3D Convolutional Neural Network
Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
High-Level Training, Data Augmentation, and Utilities for Pytorch
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
DeepNude Command Line Version With Watermark Removed
Laia: A deep learning toolkit for HTR based on Torch
Pytorch gbw lm
PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo
Variational Autoencoder trained by Feature Perceputal Loss
Add colors to black and white images with neural networks (GANs).
Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
code for unsupervised learning Neural Hidden Markov Models paper
Sequence-to-sequence models for AMR parsing and generation
torch data augmentation toolbox (supports affine transform)
C++ Implementation of PyTorch Tutorials for Everyone
Deep Learning Toolbox for Torch
Setup and customize deep learning environment in seconds.