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Top 23 Bert Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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haystack
:mag: LLM 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.
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PaddleNLP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
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Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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ERNIE
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
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pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
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machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
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rust-bert
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Maxtext: A simple, performant and scalable Jax LLM | news.ycombinator.com | 2024-04-23Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the “trax” repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
View on GitHub
Project mention: Search for anything ==> Immich fails to download textual.onnx | /r/immich | 2023-09-15
Hugging Face seems to like Rust. They also wrote Tokenizers in Rust.
Most of this tutorial is based on Hugging Face course about Transformers and on Niels Rogge's Transformers tutorials: make sure to check their work and give them a star on GitHub, if you please ❤️
Project mention: StreamingLLM: tiny tweak to KV LRU improves long conversations | news.ycombinator.com | 2024-02-13This seems only to work cause large GPTs have redundant, undercomplex attentions. See this issue in BertViz about attention in Llama: https://github.com/jessevig/bertviz/issues/128
Try experimenting with different hyperparameters, clustering algorithms and embedding representations. Try https://github.com/MaartenGr/BERTopic/tree/master/bertopic
Project mention: Train Your AI Model Once and Deploy on Any Cloud | news.ycombinator.com | 2023-07-08https://docs.nvidia.com/ai-enterprise/overview/0.1.0/platfor...
RIVA: NVIDIA® Riva, a premium edition of NVIDIA AI Enterprise software, is a GPU-accelerated speech and translation AI SDK
FasterTransformer: https://github.com/NVIDIA/FasterTransformer an
Project mention: Spark NLP 5.1.0: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more! | /r/Python | 2023-09-06
Project mention: I want to extract important keywords from large documents... | /r/LangChain | 2023-12-07Use something else like KeyBERT or BERTopic: https://github.com/MaartenGr/KeyBERT It's much faster.
Project mention: More Agents Is All You Need: LLMs performance scales with the number of agents | news.ycombinator.com | 2024-04-06I couldn't agree more. You should check out LLMWare's SLIM agents (https://github.com/llmware-ai/llmware/tree/main/examples/SLI...). It's focusing on pretty much exactly this and chaining multiple local LLMs together.
A really good topic that ties in with this is the need for deterministic sampling (I may have the terminology a bit incorrect) depending on what the model is indended for. The LLMWare team did a good 2 part video on this here as well (https://www.youtube.com/watch?v=7oMTGhSKuNY)
I think dedicated miniture LLMs are the way forward.
Disclaimer - Not affiliated with them in any way, just think it's a really cool project.
Project mention: Would this method work to increase the memory of the model? Saving summaries generated by a 2nd model and injecting them depending on the current topic. | /r/LocalLLaMA | 2023-06-09
Project mention: [D] Is it better to create a different set of Doc2Vec embeddings for each group in my dataset, rather than generating embeddings for the entire dataset? | /r/MachineLearning | 2023-10-28I'm using Top2Vec with Doc2Vec embeddings to find topics in a dataset of ~4000 social media posts. This dataset has three groups:
Project mention: How to leverage the state-of-the-art NLP models in Rust | /r/infinilabs | 2023-06-07brew install libtorch brew link libtorch brew ls --verbose libtorch | grep dylib export LIBTORCH=$(brew --cellar pytorch)/$(brew info --json pytorch | jq -r '.[0].installed[0].version') export LD_LIBRARY_PATH=${LIBTORCH}/lib:$LD_LIBRARY_PATH git clone https://github.com/guillaume-be/rust-bert.git cd rust-bert ORT_STRATEGY=system cargo run --example sentence_embeddings
Bert related posts
- AI enthusiasm #6 - Finetune any LLM you want💡
- More Agents Is All You Need: LLMs performance scales with the number of agents
- Splade: Sparse Neural Search
- Show HN: LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG
- Better Call GPT, Comparing Large Language Models Against Lawyers (pdf)
- Show HN: LLMWare – Integrated Solution for RAG in Finance and Legal
- On building a semantic search engine
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source Bert projects? This list will help you:
Project | Stars | |
---|---|---|
1 | transformers | 125,021 |
2 | nlp-tutorial | 13,691 |
3 | haystack | 13,633 |
4 | clip-as-service | 12,181 |
5 | PaddleNLP | 11,423 |
6 | tokenizers | 8,395 |
7 | Transformers-Tutorials | 7,510 |
8 | bertviz | 6,377 |
9 | ERNIE | 6,165 |
10 | BERT-pytorch | 5,988 |
11 | BERTopic | 5,543 |
12 | FasterTransformer | 5,456 |
13 | pytorch-sentiment-analysis | 4,218 |
14 | awesome-pretrained-chinese-nlp-models | 4,193 |
15 | PromptPapers | 3,918 |
16 | spark-nlp | 3,682 |
17 | KeyBERT | 3,213 |
18 | lightseq | 3,088 |
19 | llmware | 3,086 |
20 | machine-learning-articles | 3,073 |
21 | DeepKE | 2,929 |
22 | Top2Vec | 2,839 |
23 | rust-bert | 2,415 |
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