crowsonkb / dice-mc
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
☆31Updated last year
Alternatives and similar repositories for dice-mc:
Users that are interested in dice-mc are comparing it to the libraries listed below
- Utilities for PyTorch distributed☆23Updated 3 weeks ago
- Implementation of a holodeck, written in Pytorch☆17Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated 9 months ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆48Updated 3 years ago
- ☆21Updated 3 months ago
- Latent Diffusion Language Models☆68Updated last year
- ☆15Updated 2 years ago
- ☆33Updated 6 months ago
- ☆21Updated 2 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆45Updated last month
- A JAX nn library☆21Updated 3 weeks ago
- RWKV model implementation☆37Updated last year
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- ☆31Updated last month
- ☆19Updated 5 months ago
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆17Updated 4 months ago
- Automatically take good care of your preemptible TPUs☆36Updated last year
- Implementation of Metaformer, but in an autoregressive manner☆23Updated 2 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Load any clip model with a standardized interface☆21Updated 10 months ago
- FID computation in Jax/Flax.☆27Updated 8 months ago
- ☆11Updated 10 months ago
- HomebrewNLP in JAX flavour for maintable TPU-Training☆48Updated last year
- ☆29Updated 2 years ago
- ☆18Updated 11 months ago
- AdaCat☆49Updated 2 years ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 2 months ago
- A stateful pytree library for training neural networks.☆21Updated 2 years ago
- ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.☆56Updated 2 years ago
- ☆21Updated 4 months ago