srush / anynpLinks
Proof-of-concept of global switching between numpy/jax/pytorch in a library.
☆18Updated last year
Alternatives and similar repositories for anynp
Users that are interested in anynp are comparing it to the libraries listed below
Sorting:
- JAX implementation of the Mistral 7b v0.2 model☆35Updated last year
- ☆21Updated last year
- Experiment of using Tangent to autodiff triton☆81Updated last year
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- nanoGPT-like codebase for LLM training☆114Updated 2 months ago
- ☆62Updated last year
- A simple library for scaling up JAX programs☆144Updated 2 months ago
- ☆38Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆60Updated 3 years ago
- A flexible and efficient implementation of Flash Attention 2.0 for JAX, supporting multiple backends (GPU/TPU/CPU) and platforms (Triton/…☆33Updated 10 months ago
- This is a port of Mistral-7B model in JAX☆32Updated last year
- ☆92Updated last year
- LoRA for arbitrary JAX models and functions☆143Updated last year
- Einsum-like high-level array sharding API for JAX☆34Updated last year
- Functional local implementations of main model parallelism approaches☆95Updated 2 years ago
- Jax like function transformation engine but micro, microjax☆34Updated last year
- Code associated to papers on superposition (in ML interpretability)☆35Updated 3 years ago
- A MAD laboratory to improve AI architecture designs 🧪☆136Updated last year
- Maximal Update Parametrization (μP) with Flax & Optax.☆16Updated 2 years ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆74Updated 6 months ago
- ☆16Updated 2 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆181Updated 6 months ago
- Minimal but scalable implementation of large language models in JAX☆35Updated last month
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated last year
- gzip Predicts Data-dependent Scaling Laws☆34Updated last year
- A JAX implementation of stochastic addition.☆14Updated 3 years ago
- seqax = sequence modeling + JAX☆169Updated 5 months ago
- Neural Networks for JAX☆84Updated last year
- Minimal yet performant LLM examples in pure JAX☆225Updated last week
- Meta-learning inductive biases in the form of useful conserved quantities.☆39Updated 3 years ago