d2l-ai / d2l-book-colabLinks
Colab notebooks for d2l-book
☆11Updated 6 years ago
Alternatives and similar repositories for d2l-book-colab
Users that are interested in d2l-book-colab are comparing it to the libraries listed below
Sorting:
- Source code for "Training Generative Adversarial Networks Via Turing Test".☆13Updated 5 years ago
- ☆35Updated 5 years ago
- Implementation for NATv2.☆23Updated 4 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- ☆19Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 8 years ago
- Deep Learning using Rectified Linear Units (ReLU)☆22Updated last year
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆20Updated 4 years ago
- Augmentation scripts for the bAbI Dialog Tasks dataset☆13Updated 7 years ago
- A simple middleware to improving GPU utilization then speedup online inference.☆19Updated 4 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 5 years ago
- Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"☆14Updated 6 years ago
- A Keras inspired training utility for PyTorch☆38Updated 7 years ago
- A pytorch based classification experiments template☆47Updated 4 years ago
- Lifelong Variational Autoencoder☆15Updated 8 years ago
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆12Updated 7 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 6 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated last year
- ☆13Updated 7 years ago
- Implementation of Neural Arithmetic Logic Units (https://arxiv.org/pdf/1808.00508.pdf)☆31Updated 7 years ago
- List of papers that applied graph network to NLP☆13Updated 6 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated 8 months ago
- Slides from various talks I gave☆18Updated 7 years ago
- logboard: Monitor and Compare Logs on Browser/Terminal.☆21Updated 6 years ago
- High performance pytorch modules☆18Updated 3 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 8 years ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆17Updated 2 years ago
- An attempt at a PyTorch Implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning by Shocher et al. CVPR 2018☆14Updated 7 years ago
- Meta-SGD Algorithms Implementation☆22Updated last year