j10labs / wandview
Mobile Viewer for W&B, built on top of Flutter.
☆30Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for wandview
- Collection of autoregressive model implementation☆66Updated last week
- Explorations into the recently proposed Taylor Series Linear Attention☆89Updated 2 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆84Updated 2 months ago
- ☆39Updated 9 months ago
- Automatically take good care of your preemptible TPUs☆31Updated last year
- ☆121Updated this week
- Mixture of A Million Experts☆31Updated 3 months ago
- ☆72Updated 4 months ago
- Experiment of using Tangent to autodiff triton☆71Updated 9 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆112Updated 6 months ago
- ☆53Updated 9 months ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆117Updated 3 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆83Updated last week
- ☆35Updated 7 months ago
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆29Updated last week
- Utilities for PyTorch distributed☆23Updated last year
- Implementation of Infini-Transformer in Pytorch☆104Updated last month
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆108Updated 3 weeks ago
- σ-GPT: A New Approach to Autoregressive Models☆59Updated 2 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆86Updated 4 months ago
- ☆18Updated last month
- Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`☆42Updated 5 months ago
- JAX implementation of the Mistral 7b v0.2 model☆33Updated 4 months ago
- Efficient optimizers☆58Updated this week
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆29Updated 3 weeks ago
- Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers☆58Updated 3 months ago
- Here we will test various linear attention designs.☆56Updated 6 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆91Updated last month
- ☆46Updated last month