itayle

itayle's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook94.1k6887.8k15.2k

• run-llama/llama_index

  LlamaIndex is a data framework for your LLM applications

  Language:Python36.4k2445.4k5.2k

• antonmedv/fx

  Terminal JSON viewer & processor

  Language:Go19k117206441

• deepset-ai/haystack

  :mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python17.4k1413.5k1.9k

• piskvorky/gensim

  Topic Modelling for Humans

  Language:Python15.6k4291.8k4.4k

• FMInference/FlexGen

  Running large language models on a single GPU for throughput-oriented scenarios.

  Language:Python9.1k11181540

• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Language:Python8.8k1291.4k629

• OpenAccess-AI-Collective/axolotl

  Go ahead and axolotl questions

  Language:Python6.9k50597750

• interstellard/chatgpt-advanced

  WebChatGPT: A browser extension that augments your ChatGPT prompts with web results.

  Language:TypeScript6.5k100150836

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6.1k541.7k763

• TimDettmers/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python5.8k48968584

• Deci-AI/super-gradients

  Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

  Language:Jupyter Notebook4.6k45667502

• promptslab/Promptify

  Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

  Language:Jupyter Notebook3.2k4868240

• stanford-futuredata/ColBERT

  ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

  Language:Python3k42265385

• google/BIG-bench

  Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

  Language:Python2.9k51150590

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.5k48165293

• castorini/pyserini

  Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

  Language:Python1.7k18548371

• google-research/language

  Shared repository for open-sourced projects from the Google AI Language team.

  Language:Python1.6k62117346

• beir-cellar/beir

  A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

  Language:Python1.6k23140191

• IntelLabs/fastRAG

  Efficient Retrieval Augmentation and Generation Framework

  Language:Python1.3k1231119

• sebastian-hofstaetter/teaching

  Open-Source Information Retrieval Courses @ TU Wien

  Language:Python592181984

• HazyResearch/manifest

  Prompt programming with FMs.

  Language:Python440223646

• microsoft/task_oriented_dialogue_as_dataflow_synthesis

  Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).

  Language:Python307202366

• allenai/acl2022-zerofewshot-tutorial

  2939213

• NNLP-IL/Hebrew-Resources

  A comprehensive list of Hebrew NLP resources.

  Language:Java24726943

• HKUNLP/icl-ceil

  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.

  Language:Python914710

• microsoft/semantic_parsing_with_constrained_lm

  Code to reproduce experiments in the paper "Constrained Language Models Yield Few-Shot Semantic Parsers" (EMNLP 2021).

  Language:Python61958

• OhadRubin/EPR

  Language:Python591586

• telepathylabsai/OpenDF

  Code to reproduce LREC Paper Simplifying Semantic Annotations of SMCalFlow

  Language:Python256236

• microsoft/compositional-generalization-span-level-attention

  code for the NAACL 2021 paper Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention by Microsoft Semantic Machines.

  Language:Python11716