longhao-yuan-biz

longhao-yuan-biz's Stars

• ytzfhqs/AAAMLP-CN

  Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/

  Language:Jupyter Notebook1.5k192

• ThilinaRajapakse/simpletransformers

  Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

  Language:Python4.1k728

• yuanlonghao/reranking

  To implement reranking techniques for recommendation system and search engine.

  Language:Python182

• kongds/Prompt-BERT

  PromptBERT: Improving BERT Sentence Embeddings with Prompts

  Language:Python33233

• ghmagazine/llm-book

  「大規模言語モデル入門」（2023）と「大規模言語モデル入門Ⅱ〜生成型LLMの実装と評価」（2024）のGitHubリポジトリ

  Language:Jupyter Notebook32548

• OpenBuddy/OpenBuddy

  Open Multilingual Chatbot for Everyone

  1.2k70

• taishi-i/awesome-japanese-nlp-resources

  A curated list of resources dedicated to Python libraries, LLMs, dictionaries, and corpora of NLP for Japanese

  69727

• shenweichen/DeepCTR-Torch

  【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

  Language:Python3k706

• microsoft/hummingbird

  Hummingbird compiles trained ML models into tensor computation for faster inference.

  Language:Python3.4k279

• wararaki718/opensearch-ann-sample

  Language:Python1

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++31.3k3.6k

• daac-tools/daachorse

  🐎 A fast implementation of the Aho-Corasick algorithm using the compact double-array data structure in Rust.

  Language:Rust20114

• phlippe/uvadlc_notebooks

  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

  Language:Jupyter Notebook2.6k581

• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.2k1.3k

• zealscott/SGDL

  Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

  Language:Python188

• meta-soul/MetaSpore

  A unified end-to-end machine intelligence platform

  Language:Python643118

• ikegami-yukino/dataset-list

  lists of text corpus and more (mainly Japanese)

  11611

• ufoym/deepo

  Setup and customize deep learning environment in seconds.

  Language:Python6.3k749

• k-tahiro/bert-summarizer

  BERT-based text summarizer.

  Language:Python102

• cognitiveailab/darmok

  Language:Python162

• Huxpro/huxpro.github.io

  My Blog / Jekyll Themes / PWA

  Language:HTML7.1k5.5k

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  17.8k2.5k

• bojone/BERT-whitening

  简单的向量白化改善句向量质量

  Language:Python48166

• LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words

  List of Dirty, Naughty, Obscene, and Otherwise Bad Words

  2.9k666

• sidharthskumar/ICFOSS-KEYWORD-EXTRACTION

  extracts keywords from malayalam news articles trained by TNT for POS tagging and CRF++ for keyword selection, a project under ICFOSS by sidharth and rohith [PAPER+CODE]

  Language:Python32

• js1010/cusim

  Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)

  Language:Python458

• AdityaGadepalli/Fairness_Aware_Re-ranking

  Implementation of the paper "Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search"

  Language:Jupyter Notebook44

• p768lwy3/torecsys

  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

  Language:Python10117

• rec-agent/drr

  code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"

  Language:Python5117

• csinva/gpt-paper-title-generator

  Generating paper titles (and more!) with GPT trained on data scraped from arXiv.

  Language:Jupyter Notebook14432