Alternatives and similar repositories for document-automation

Users that are interested in document-automation are comparing it to the libraries listed below

• foundation-model-stack / fms-acceleration
  🚀 Collection of libraries used with fms-hf-tuning to accelerate fine-tuning and training of large models.
  ☆11Updated last month
• huggingface / gaia
  Hugging Face and Pyserini interoperability
  ☆20Updated 2 years ago
• facebookresearch / lss_eval
  This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…
  ☆31Updated last year
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆18Updated 5 months ago
• epoch-research / training-cost-trends
  ☆16Updated last week
• foundation-model-stack / fms-model-optimizer
  FMS Model Optimizer is a framework for developing reduced precision neural network models.
  ☆20Updated this week
• Quansight-Labs / numpy_pytorch_interop
  ☆20Updated last year
• FrancescoSaverioZuppichini / pytorch-2.0-benchmark
  Benchmarking PyTorch 2.0 different models
  ☆21Updated 2 years ago
• prateeky2806 / ComPEFT
  ☆26Updated last year
• liujch1998 / infini-gram
  ☆54Updated last month
• HazyResearch / embroid
  Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
  ☆11Updated last year
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• Alignment-Lab-AI / datagen
  a pipeline for using api calls to agnostically convert unstructured data into structured training data
  ☆30Updated 9 months ago
• open-lm-engine / lm-engine
  LM engine is a library for pretraining/finetuning LLMs
  ☆59Updated this week
• microsoft / automated-brain-explanations
  Generating and validating natural-language explanations for the brain.
  ☆56Updated this week
• ibm-granite / granite-embedding-models
  ☆29Updated 3 weeks ago
• huggingface / hf_benchmarks
  A starter kit for evaluating benchmarks on the 🤗 Hub
  ☆14Updated last year
• modal-labs / ci-on-modal
  A sample pattern for running CI tests on Modal
  ☆18Updated 3 months ago
• HabanaAI / Megatron-DeepSpeed
  Intel Gaudi's Megatron DeepSpeed Large Language Models for training
  ☆13Updated 6 months ago
• UmerHA / triton_util
  Make triton easier
  ☆47Updated last year
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated last year
• anyscale / long-context-fine-tuning-blogpost
  ☆17Updated last year
• google / drjax
  ☆13Updated 2 weeks ago
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆39Updated 2 years ago
• sdpython / onnxcustom
  Tutorial on how to convert machine learned models into ONNX
  ☆16Updated 2 years ago
• Narsil / bloomserver
  ☆39Updated 2 years ago
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆77Updated this week
• Percent-BFD / neurips_submission
  ☆16Updated last year
• salesforce / simplification
  ☆22Updated 5 months ago
• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆32Updated 2 months ago