#transformer

A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.

Consumer-aware compression for embedding indexes and LLM KV caches — compress by the metric the downstream consumer actually uses. PCA-Matryoshka + TurboQuant (27x @ 99.8% recall@10), asymmetric K/V, CUDA/Triton kernels, vLLM plugin, replayable CI-gated claims. MIT.

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

A typescript-go toolchain, with evidence graph

PyTorch Implementation of Google Research's MetNet and MetNet-2

Perform rapid conversion and validation of JSON structure between Postman Collection Format v1 and v2.

Search engine

Pre-trained Neural Network models in Axon (+ 🤗 Models integration)

FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.

Vue components for the Konva 2d canvas library. Build interactive graphics, design editors, and whiteboards in Vue.

Faster Whisper transcription with CTranslate2