Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
There is a task I often perform for inheritance tax property valuation. It involves opening the National Tax Agency's "Property Valuation Standards" website (rosenka.nta.go.jp), selecting the ...
In this tutorial, we implement an end-to-end workflow for Salesforce CodeGen. We load a CodeGen model from Hugging Face, prepare it for code generation, and use it to generate Python functions from ...
Somewhere in your organization, the answer to next quarter's hardest question already exists. It sits in a contract clause nobody indexed, a support ticket thread nobody summarized, a call transcript ...
This module differs from the built-in PyTorch BatchNorm as the mean and standard-deviation are reduced across all devices during training. For example, when one uses nn.DataParallel to wrap the ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Python wrapper for SentencePiece. This API supports the encoding, decoding, and training of SentencePiece models. For a detailed feature and API comparison with Hugging Face Tokenizers and OpenAI's ...
Thinking Machines Lab released Inkling on July 15, 2026, its first model trained from scratch. The full weights ship under Apache 2.0. It is a 975B-parameter Mixture-of-Experts transformer with 41B ...
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