ilguyi / optimizers.numpy
☆62Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for optimizers.numpy
- ☆30Updated 5 years ago
- ☆32Updated 5 years ago
- Notes and codes of the topic "Bayesian deep learning"☆56Updated 5 years ago
- A minimal implementation of Gaussian process regression in PyTorch☆61Updated last year
- Tensorflow Implementation of "Slowing Down the Weight Norm Increase in Momentum-based Optimizers"☆46Updated 3 years ago
- Repository for implementation of generative models with Tensorflow 1.x☆71Updated 4 years ago
- Understanding nuts and bolts of neural networks with PyTorch☆32Updated 3 years ago
- Reproducing the reformer with tf2☆16Updated 3 years ago
- ☆52Updated 4 years ago
- Awesome list for Neural Network Optimization methods.☆76Updated 8 months ago
- The OTHER pytorch boilerplate☆43Updated 3 years ago
- Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.☆54Updated 4 years ago
- ☆13Updated 4 years ago
- Generative Modelling Experiments☆40Updated 4 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆43Updated 3 years ago
- Meta learning framework with Tensorflow 2.0☆120Updated last year
- A collection of various deep learning architectures, models, and tips☆63Updated 4 years ago
- Making a PyTorch model easier than ever!☆78Updated 3 years ago
- Support Vector Machine (SVM) library for Python with GPU☆32Updated 6 years ago
- TensorFlow 1.x Practice☆15Updated 4 years ago
- Statistics and Visualization of acceptance rate, main keyword of CVPR 2020 accepted papers for the main Computer Vision conference (CVPR)☆33Updated 3 years ago
- Encoding position with the word embeddings.☆83Updated 6 years ago
- 🎲 Iterable dataset resampling in PyTorch☆91Updated 2 years ago
- (partial) replication of results from https://arxiv.org/abs/1912.07768☆26Updated 4 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆179Updated 4 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆90Updated 4 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆13Updated last year
- Implementation of ChoiceNet☆129Updated 6 years ago
- An implementation of Restricted Boltzmann Machine in Pytorch☆49Updated 5 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆61Updated 3 years ago