bennwei

bennwei's Stars

• microsoft/LLaVA-Med

  Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

  Language:Python1.7k202

• openai/chatgpt-retrieval-plugin

  The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

  Language:Python21.1k3.7k

• facebookresearch/AnimatedDrawings

  Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

  Language:Python12.1k1k

• fastapi/typer

  Typer, build great CLIs. Easy to code. Based on Python type hints.

  Language:Python16.2k684

• google-research/pix2struct

  Language:Python61754

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.7k257

• microsoft/LMOps

  General technology for enabling AI capabilities w/ LLMs and MLLMs

  Language:Python3.8k286

• DataTalksClub/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook11.3k2.2k

• microsoft/BioGPT

  Language:Python4.3k454

• the-full-stack/fsdl-text-recognizer-2022-labs

  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

  Language:Jupyter Notebook459229

• hemansnation/god-level-ai

  A collection of scientific methods, processes, algorithms, and systems to build stories & models.

  Language:Jupyter Notebook3.5k665

• HudsonAlpha/STEVE

  Language:Python101

• callahantiff/PheKnowLator

  PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models

  Language:Python17429

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook9.1k1.8k

• Aafreen29/SQL-Interview-Prep-Question

  This repository is for everyone who is preparing for Data Scientist/Data Analyst position interviews. It includes frequently asked SQL coding questions with answers.

  374132

• aburkov/theMLbook

  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

  Language:Python1.8k561

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML9.1k2k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  10.1k1.6k

• BoltzmannEntropy/interviews.ai

  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  4.5k298

• UrbsLab/STREAMLINE

  Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

  Language:Jupyter Notebook699

• CasualGANPapers/Make-A-Scene

  Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

  Language:Python33419

• allegroai/clearml

  ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

  Language:Python5.8k660

• salesforce/OmniXAI

  OmniXAI: A Library for eXplainable AI

  Language:Jupyter Notebook88796

• ddangelov/Top2Vec

  Top2Vec learns jointly embedded topic, document and word vectors.

  Language:Python3k374

• PaddlePaddle/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.

  Language:Python12.3k3k

• wilsonjr/ClusterShapley

  Explaining dimensionality results using SHAP values

  Language:Jupyter Notebook533

• voila-dashboards/voila

  Voilà turns Jupyter notebooks into standalone web applications

  Language:Python5.5k506

• openml/automlbenchmark

  OpenML AutoML Benchmarking Framework

  Language:Python415135

• explosion/spaCy

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

  Language:Python30.6k4.4k

• evfro/polara

  Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

  Language:Python25223