RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.

Related tags

Deep Learningdata-sciencemachine-learningdeep-learningpreparationinterview-preparationmachine-learning-projects
Overview

ML-and-DataScience-preparation

This repository has the goal to create a learning and preparation roadMap for Machine Learning Engineers and Data Scientists.

Project Structure

The repository is splittend into two macrofolders: Machine Learning and Data Science. Each section will have its own README file, containing a list of topic sorted from beginner to senior levels, with related e-learning resources or articles associated. Also in the README.md file, you will be able to find a Suggested Books section, containing a list of books useful for theory preparation, practice or interview preparation.

Collaborate to the Project

Any feedback or collaboration is more than welcome.

How to collaborate

  • Star the repository
  • Clone the repository
  • Add your changes
  • Create a Pull Request

Host

Special thanks to LeadTheFuture for welcoming and supporting this initiative.

Contributors

Owner
GitHub Repository https://leadthefuture.tech/
Unconstrained Text Detection with Box Supervisionand Dynamic Self-Training

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FNet Implementation with TensorFlow & PyTorch

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Learning Generative Models of Textured 3D Meshes from Real-World Images, ICCV 2021

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CenterPoint 3D Object Detection and Tracking using center points in the bird-eye view.

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Walk with fastai

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SurfEmb (CVPR 2022) - SurfEmb: Dense and Continuous Correspondence Distributions

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GPU implementation of $k$-Nearest Neighbors and Shared-Nearest Neighbors

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Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

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62 Dec 05, 2022
Awesome Transformers in Medical Imaging

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Simple implementation of Mobile-Former on Pytorch

Simple-implementation-of-Mobile-Former At present, only the model but no trained. There may be some bug in the code, and some details may be different

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Neural network-based build time estimation for additive manufacturing

Neural network-based build time estimation for additive manufacturing Oh, Y., Sharp, M., Sprock, T., & Kwon, S. (2021). Neural network-based build tim

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Automated Attendance Project Using Face Recognition

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SARS-Cov-2 Recombinant Finder for fasta sequences

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[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Delving into Deep Imbalanced Regression This repository contains the implementation code for paper: Delving into Deep Imbalanced Regression Yuzhe Yang

Yuzhe Yang 568 Dec 30, 2022
YOLOX_AUDIO is an audio event detection model based on YOLOX

YOLOX_AUDIO is an audio event detection model based on YOLOX, an anchor-free version of YOLO. This repo is an implementated by PyTorch. Main goal of YOLOX_AUDIO is to detect and classify pre-defined

intflow Inc. 77 Dec 19, 2022
Deep Learning GPU Training System

DIGITS DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models. The currently supported frameworks are: Caffe, To

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Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems

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6 Aug 25, 2022
Implementation of SSMF: Shifting Seasonal Matrix Factorization

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Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.

Lunar Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs. About Lunar can be modified to work

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Equivariant layers for RC-complement symmetry in DNA sequence data

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