Jianpeng-Xu

Jianpeng-Xu's Stars

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.5k725

• archersama/awesome-recommend-system-pretraining-papers

  Paper List for Recommend-system PreTrained Models

  31927

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k27.1k

• manjunath5496/The-Art-of-Computer-Programming-Books

  "Everyday life is like programming, I guess. If you love something you can put beauty into it." ― Donald E. Knuth

  1.7k458

• OpenGenus/cosmos

  World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project

  Language:C++13.6k3.7k

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.8k837

• explosion/spaCy

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  Language:Python30.3k4.4k

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k718

• mohitzsh/ML-Interview

  Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

  30553

• imfing/vuepress-homepage

  :page_facing_up: Elegant & friendly homepage (bio, tech portfolio, resume, doc...) template with Markdown and VuePress

  362128

• msaveski/www_personal

  Personal Webpage

  Language:HTML241110

• taichi-dev/taichi

  Productive, portable, and performant GPU programming in Python.

  Language:C++25.5k2.3k

• howie6879/magic_google

  Google search results crawler, get google search results that you need

  Language:Python393109

• prinshul/tensorsensor

  Language:Jupyter Notebook212

• facebook/create-react-app

  Set up a modern web app by running one command.

  Language:JavaScript103k26.9k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22k8.5k

• TDAmeritrade/stumpy

  STUMPY is a powerful and scalable Python library for modern time series analysis

  Language:Python3.7k319

• kang205/SASRec

  SASRec: Self-Attentive Sequential Recommendation

  Language:Python725157

• NVIDIA/DALI

  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

  Language:C++5.2k622

• triton-inference-server/server

  The Triton Inference Server provides an optimized cloud and edge inferencing solution.

  Language:Python8.3k1.5k

• NVIDIA-Merlin/HugeCTR

  HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

  Language:C++946200

• Coder-Yu/QRec

  QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

  Language:Python1.6k406

• StockSharp/StockSharp

  Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

  Language:C#7.3k1.8k

• AndroidJiang/StockChart

  Language:Java1.1k320

• bbfamily/abu

  阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

  Language:Python12.1k3.8k

• sauravk90/ML-Model-Flask-Deployment

  Demo project to show how Machine Learn Models are deployed on production using Flask API

  Language:CSS2925

• o19s/awesome-search-relevance

  Tools and other things for people who work on search relevance & information retrieval

  822

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.3k8.7k

• tensorflow/docs

  TensorFlow documentation

  Language:Jupyter Notebook6.1k5.3k

• davestephens/ansible-nas

  Build a full-featured home server or NAS replacement with an Ubuntu box and this playbook.

  Language:Jinja3.2k491