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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

chandrashish

Config files for my GitHub profile.

data-science-cheatsheet

data-science-cheatsheet-1

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

demo1

distributed-representations-made-easy

feature-engineering-live-sessions

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hindbr

HINDbr: Heterogeneous Information Network Based Duplicate Bug Report Prediction

image_embeddings

Using efficientnet to provide embeddings for retrieval

img2vec

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

interview-prepartion-data-science

interview-question-data-science-

langchain-chat-with-documents

Chat with documents (pdf, docx, txt) using ChatGPT and Langchain

leetcode-patterns

A curated list of leetcode questions grouped by their common patterns

machine-learning

map-reduce

Demo of running a Map-Reduce job using python scripts for mapper and reducer. The task is to remove duplicate headlines from a given data of many headlines.

mlpractice

machine learning basics

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

signature-verification_system_using_yolov5-and-cyclegan

An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch

soft_alignment_model_bug_deduplication

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

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors