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73–96 of 137 · Most stars

Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)

  • calibration
  • decision-model
  • jev
  • jev-model

TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.

An advanced, but easy to use, platform for writing functional applications in Java 8.

  • functional-programming
  • reactive-streams
  • monoid
  • streams

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

allRank is a framework for training learning-to-rank neural models based on PyTorch.

  • learning-to-rank
  • ndcg
  • ranking
  • information-retrieval

A Laravel Fractal package for building API responses, giving you the power of Fractal with Laravel's elegancy.

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

  • kmer
  • dnabert-model
  • kmer-format
  • gpu

A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.

  • gated-deltanet
  • interpretability
  • llm
  • qwen

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

  • ai
  • cell
  • digitalpathology
  • microscopy

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data