Alternatives and similar repositories for d2l-book-colab:

Users that are interested in d2l-book-colab are comparing it to the libraries listed below

• markwwen / ServingAgent
  A simple middleware to improving GPU utilization then speedup online inference.
  ☆19Updated 3 years ago
• t-vi / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆17Updated last year
• Shujian2015 / graphnet_nlp_paper
  List of papers that applied graph network to NLP
  ☆13Updated 5 years ago
• divelab / vqa-text
  ☆19Updated 6 years ago
• ishalyminov / babi_tools
  Augmentation scripts for the bAbI Dialog Tasks dataset
  ☆13Updated 6 years ago
• RahulBhalley / turing-gan
  Source code for "Training Generative Adversarial Networks Via Turing Test".
  ☆13Updated 4 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆14Updated 7 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• SushantKafle / speechtext-wimp-labeler
  This project demonstrates the use of generic bi-directional LSTM models for predicting importance of words in a spoken dialgoue for under…
  ☆10Updated last year
• Kipok / understanding-momentum
  Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"
  ☆15Updated 5 years ago
• gan3sh500 / revrnn
  Reversible Recurrent Neural Network Pytorch Implementation
  ☆21Updated 7 years ago
• arrufat / dlib-pytorch-benchmark
  A very naive and simple benchmark between dlib and pytorch in terms of space and time
  ☆19Updated 4 years ago
• abhaikollara / flare-archived
  A Keras inspired training utility for PyTorch
  ☆38Updated 6 years ago
• luuuyi / ShuffleNetV2_vs_MnasNet.PyTorch
  Contrast between ShuffleNet V2 and MnasNet.(Non-official implement In PyTorch)
  ☆12Updated 6 years ago
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 5 years ago
• tathey1 / graspy
  Python package for graph statistics
  ☆9Updated 4 years ago
• asvcode / 1_cycle
  A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith
  ☆11Updated 6 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• SSS135 / aiqn-vae
  VAE + Quantile Networks for MNIST
  ☆12Updated 6 years ago
• lgarithm / crystalnet
  crystalnet -- a mini core AI library (being refactored, see https://github.com/lgarithm/stdnn-ops)
  ☆16Updated 5 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆13Updated 7 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• JACKHAHA363 / VQVAE
  a replicate of https://arxiv.org/pdf/1711.00937.pdf
  ☆16Updated 7 years ago
• lichengunc / mteqa
  Multi-Target Embodied Question Answering
  ☆11Updated 5 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆17Updated 5 years ago
• paper-submissions / norm_matters
  ☆13Updated 6 years ago
• NighTurs / kaggle-cdiscount-image-classification
  ☆13Updated 4 years ago
• merrymercy / NALU
  Implementation of Neural Arithmetic Logic Units (https://arxiv.org/pdf/1808.00508.pdf)
  ☆31Updated 6 years ago
• AFAgarap / dl-relu
  Deep Learning using Rectified Linear Units (ReLU)
  ☆22Updated 6 months ago