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…☆55Updated 2 years 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
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆47Updated 2 years ago
- JAX/Flax implementation of the Hyena Hierarchy☆34Updated 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, …☆39Updated 4 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 algorithm detailed in paper "Evolutionary design of molecules based on deep learning and a genetic algorithm"☆24Updated 2 years ago
- Toy genetic algorithm in Pytorch☆54Updated 7 months ago
- The project proposal template for OpenBioML community projects.☆18Updated 2 years ago
- Your favourite classical machine learning algos on the GPU/TPU☆20Updated last week
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆74Updated 5 months ago
- Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster☆71Updated 7 months ago
- ☆118Updated 2 weeks ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Ma…☆98Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- An annotated implementation of the Hyena Hierarchy paper☆34Updated 2 years ago
- Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some addition…☆57Updated 2 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆76Updated 4 years ago
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆96Updated 2 years ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- Recursive Leasting Squares (RLS) with Neural Network for fast learning☆58Updated 2 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆38Updated 3 years ago
- pytorch implementation of trDesign☆45Updated 4 years ago
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- Implementations of growing and pruning in neural networks☆22Updated 2 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 8 months ago
- A JAX nn library☆22Updated 3 months ago