google-deepmind / understanding_deep_generative_models_with_generalized_empirical_likelihoodLinks
☆34Updated last year
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:
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 10 months ago
- Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some addition…☆56Updated 2 years ago
- My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…☆52Updated last year
- Graph neural networks in JAX.☆67Updated 11 months ago
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆46Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- Implementation of the algorithm detailed in paper "Evolutionary design of molecules based on deep learning and a genetic algorithm"☆23Updated last year
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆70Updated this week
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Updated 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, …☆29Updated 3 years ago
- JAX/Flax implementation of the Hyena Hierarchy☆34Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Updated last year
- ☆11Updated last year
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated 7 months ago
- This is a port of Mistral-7B model in JAX☆32Updated 11 months ago
- An implementation of ESM2 in Equinox+JAX☆26Updated 3 months ago
- Graph Learning with JAX☆14Updated 2 years ago
- Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)☆68Updated 9 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆124Updated last year
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- Implementation of a holodeck, written in Pytorch☆18Updated last year
- Lightning-like training API for JAX with Flax☆38Updated 5 months ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆51Updated 2 months ago
- Running Jax in PyTorch Lightning☆102Updated 5 months ago
- ☆114Updated this week
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 4 months ago
- JAX implementation of Learning to learn by gradient descent by gradient descent☆27Updated 7 months ago