boredtylin

boredtylin's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.5k286422.3k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.7k1111.1k1.7k

• openai/tiktoken

  tiktoken is a fast BPE tokeniser for use with OpenAI's models.

  Language:Python12.7k168241871

• Vanessa219/vditor

  ♏ 一款浏览器端的 Markdown 编辑器，支持所见即所得（富文本）、即时渲染（类似 Typora）和分屏预览模式。An In-browser Markdown editor, support WYSIWYG (Rich Text), Instant Rendering (Typora-like) and Split View modes.

  Language:TypeScript8.7k661.5k885

• tensorspace-team/tensorspace

  Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

  Language:JavaScript5.1k134200444

• datawhalechina/fun-rec

  推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

  Language:Jupyter Notebook4.8k3659845

• giuspen/cherrytree

  cherrytree

  Language:C++3.5k1072.1k469

• wangshusen/RecommenderSystem

  2.6k297386

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2.1k1982194

• lucasb-eyer/pydensecrf

  Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

  Language:C++2k40108417

• tensorflow/recommenders

  TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

  Language:Python1.9k50418279

• alibaba/havenask

  Language:C++1.6k42189302

• isl-org/MultiObjectiveOptimization

  Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

  Language:Python9902043170

• G-U-N/PyCIL

  PyCIL: A Python Toolbox for Class-Incremental Learning

  Language:Python842981139

• facebookresearch/dadaptation

  D-Adaptation for SGD, Adam and AdaGrad

  Language:Python505112319

• 131250208/TPlinker-joint-extraction

  Language:Jupyter Notebook45368793

• allanj/pytorch_neural_crf

  Pytorch implementation of LSTM/BERT-CRF for named entity recognition

  Language:Python36593662

• lmnt-com/haste

  Haste: a fast, simple, and open RNN library

  Language:C++325134627

• fky2015/resume-ng

  A LaTeX resume template designed for optimal information density and aesthetic appeal.

  Language:TeX32431042

• westlake-repl/Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review

  Paper List of Pre-trained Foundation Recommender Models

  31810126

• xdanaux/fontawesome-latex

  LaTeX mappings for Font Awesome, the icons font

  Language:Python308112436

• wzhouad/ATLOP

  Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

  Language:Python19833139

• sadeepj/crfasrnn_pytorch

  CRF-RNN PyTorch version http://crfasrnn.torr.vision

  Language:Python1974849

• Pezmc/BibLatex-Check

  A python script for checking BibLatex .bib files for common referencing mistakes!

  Language:Python17453234

• ruyiluo/Reco-Res

  优质的推荐算法资源汇总

  914020

• microsoft/binder

  Language:Python8951121

• willGuimont/learnable_fourier_positional_encoding

  Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

  Language:Python42309

• tk1980/TwoWayMultiLabelLoss

  Two-way Multi-Label Loss

  Language:Python34121

• olivettigroup/annotated-materials-syntheses

  24515

• Qznan/SpanKL

  Code for paper: A Neural Span-Based Continual Named Entity Recognition Model

  Language:Python16373