Python pre-training

Open-source Python projects categorized as pre-training

Top 9 Python pre-training Projects

  • LLMSurvey

    The official GitHub page for the survey paper "A Survey of Large Language Models".

  • Project mention: Ask HN: Textbook Regarding LLMs | news.ycombinator.com | 2024-03-23

    Here’s another one - it’s older but has some interesting charts and graphs.

    https://arxiv.org/abs/2303.18223

  • Oscar

    Oscar and VinVL

  • 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.

    InfluxDB logo
  • TencentPretrain

    Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

  • XPretrain

    Multi-modality pre-training

  • Project mention: CVPR 2024 Datasets and Benchmarks - Part 1: Datasets | dev.to | 2024-04-23

    It was created by curating 3.8 million high-resolution videos from the publicly available HD-VILA-100M dataset. The dataset is created following these three steps:

  • STEP

    Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting. (by zezhishao)

  • GearNet

    GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)

  • Bamboo

    Bamboo: 4 times larger than ImageNet; 2 time larger than Object365; Built by active learning. (by ZhangYuanhan-AI)

  • SaaSHub

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  • AMRBART

    Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

  • tsdae

    Tranformer-based Denoising AutoEncoder for Sentence Transformers Unsupervised pre-training.

  • Project mention: Tranformer-based Denoising AutoEncoder for ST Unsupervised pre-training | news.ycombinator.com | 2024-02-04

    A new PyPI package for training sentence embedding models in just 2 lines.

    The acquisition of sentence embeddings often necessitates a substantial volume of labeled data. However, in many cases and fields, labeled data is rarely accessible, and the procurement of such data is costly. In this project, we employ an unsupervised process grounded in pre-trained Transformers-based Sequential Denoising Auto-Encoder (TSDAE), introduced by the Ubiquitous Knowledge Processing Lab of Darmstadt, which can realize a performance level reaching 93.1% of in-domain supervised methodologies.

    The TSDAE schema comprises two components: an encoder and a decoder. Throughout the training process, TSDAE translates tainted sentences into uniform-sized vectors, necessitating the decoder to reconstruct the original sentences utilizing this sentence embedding. For good reconstruction quality, the semantics must be captured well in the sentence embeddings from the encoder. Subsequently, during inference, the encoder is solely utilized to form sentence embeddings.

    GitHub : https://github.com/louisbrulenaudet/tsdae

    Installation :

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

What are some of the best open-source pre-training projects in Python? This list will help you:

Project Stars
1 LLMSurvey 8,902
2 Oscar 1,031
3 TencentPretrain 983
4 XPretrain 439
5 STEP 306
6 GearNet 244
7 Bamboo 161
8 AMRBART 89
9 tsdae 3

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