google-deepmind / understanding_deep_generative_models_with_generalized_empirical_likelihoodLinks
☆34Updated 2 years ago
Alternatives and similar repositories for understanding_deep_generative_models_with_generalized_empirical_likelihood
Users that are interested in understanding_deep_generative_models_with_generalized_empirical_likelihood are comparing it to the libraries listed below
Sorting:
- My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…☆54Updated 2 years ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆74Updated 3 months ago
- Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)☆76Updated last year
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆45Updated 2 years ago
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Updated 3 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, …☆36Updated 4 years ago
- Your favourite classical machine learning algos on the GPU/TPU☆20Updated 9 months ago
- Toy genetic algorithm in Pytorch☆52Updated 6 months ago
- A JAX nn library☆21Updated last month
- Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some addition…☆56Updated 2 years ago
- ☆115Updated last month
- JAX/Flax implementation of the Hyena Hierarchy☆34Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Implementation of the algorithm detailed in paper "Evolutionary design of molecules based on deep learning and a genetic algorithm"☆24Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- The project proposal template for OpenBioML community projects.☆18Updated 2 years ago
- Implementations of growing and pruning in neural networks☆22Updated 2 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆75Updated 4 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 7 months ago
- Graph neural networks in JAX.☆68Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Local Attention - Flax module for Jax☆22Updated 4 years ago
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆96Updated 2 years ago
- ☆10Updated 4 years ago
- ☆32Updated 2 weeks ago
- JAX implementation of Learning to learn by gradient descent by gradient descent☆28Updated 2 months ago
- ☆21Updated 2 years ago