milcent

milcent's Stars

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.1k9991.1k9.6k

• mingrammer/diagrams

  :art: Diagram as Code for prototyping cloud system architectures

  Language:Python37.6k4025052.5k

• explosion/spaCy

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

  Language:Python30k5615.7k4.4k

• freqtrade/freqtrade

  Free, open source crypto trading bot

  Language:Python28.6k6354.7k6.1k

• HumanSignal/label-studio

  Label Studio is a multi-type data labeling and annotation tool with standardized output format

  Language:JavaScript19k1772.3k2.4k

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.4k2216092.1k

• qeeqbox/social-analyzer

  API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites

  Language:JavaScript11.6k35871918

• kkroening/ffmpeg-python

  Python bindings for FFmpeg - with complex filtering support

  Language:Python10k113711886

• seatgeek/fuzzywuzzy

  Fuzzy String Matching in Python

  Language:Python9.2k258187875

• flyteorg/flyte

  Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

  Language:Go5.7k2593.2k644

• freqtrade/freqtrade-strategies

  Free trading strategies for Freqtrade bot

  Language:Python3.3k1491741.1k

• badtuxx/DescomplicandoDocker

  Descomplicando o Docker, o livro.

  Language:HTML3.3k11010573

• adamerose/PandasGUI

  A GUI for Pandas DataFrames

  Language:Python3.2k53198235

• dcajasn/Riskfolio-Lib

  Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

  Language:C++3k78135519

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.3k62156226

• AllenDowney/ThinkBayes2

  Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

  Language:Jupyter Notebook1.8k68491.5k

• abhishekkrthakur/tez

  Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

  Language:Python1.2k1741145

• abhishek-ch/around-dataengineering

  A Data Engineering & Machine Learning Knowledge Hub

  Language:Python1.1k842223

• andfanilo/streamlit-drawable-canvas

  Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.

  Language:TypeScript5841211090

• hackingthemarkets/candlestick-screener

  web-based technical screener for candlestick patterns using Python and Flask

  Language:Python5192311291

• sdv-dev/TGAN

  Generative adversarial training for generating synthetic tabular data.

  Language:Python281276191

• trekhleb/links-detector

  📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.

  Language:TypeScript18371125

• llSourcell/word_vectors_game_of_thrones-LIVE

  This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube

  Language:Jupyter Notebook17169145

• AllenDowney/empiricaldist

  Python library that represents empirical distribution functions.

  Language:Jupyter Notebook15542631

• unicamp-dl/PTT5

  Code for training and evaluating T5 on Portuguese data.

  Language:Python856210

• napoles-uach/streamlit_network

  For pyvis and networkx

  Language:HTML793130

• butchland/fastai_xla_extensions

  A Python package to allow fastai to run on TPUs using Pytorch-XLA

  Language:Jupyter Notebook366187

• pratapvardhan/cartoonizer-with-tfjs

  Cartoonizer with TensorFlow.js models (White-box CartoonGAN)

  Language:Jupyter Notebook30221

• teobeeguan/market_profile

  Language:Python142115

• michelquinteiro/A-bibliometric-study-using-R.

  The purpose of this bibliometric study was to carry out a literature review on the relationships of trust in agri-food supply chains. We used the R software in RStudio and the R packages bibliometrix and biblioshiny for data analysis. We extracted the documents from the Scopus and Web of Science databases.

  Language:TeX2