tzxiang / awesome-computer-vision-papers

Related projects ⓘ

Alternatives and complementary repositories for awesome-computer-vision-papers

• sushant097 / Deep-Learning-Papers-Reading
  30 Days GANs Paper Reading
  ☆44Updated last year
• louisfb01 / top-10-cv-papers-2021
  A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
  ☆126Updated 2 years ago
• Nneji123 / Serving-Machine-Learning-Models
  This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various fra…
  ☆53Updated last year
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆86Updated last year
• The-AI-Summer / GANs-in-Computer-Vision
  GANs in computer vision AI Summer article series
  ☆69Updated 4 years ago
• suvoooo / Learn-TensorFlow
  Learning Tensorflow Step by Step:: Concepts, Examples & Applications
  ☆56Updated 3 months ago
• jxtngx / vision-lab
  vision transformers with pytorch and pytorch lightning
  ☆0Updated 3 weeks ago
• ashishpatel26 / Docker-For-Python-Machine-learning
  Docker For Python Machine learning
  ☆11Updated last year
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆44Updated 2 years ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆70Updated last year
• ashishpatel26 / Awesome-Pytorch-Tutorials
  Awesome Pytorch Tutorials
  ☆30Updated 2 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆108Updated 2 years ago
• sayakpaul / Spatial-Transformer-Networks-with-Keras
  This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
  ☆36Updated 2 years ago
• AndreasLH / ML_Ops_stable_diffusion
  Machine Learning Operations with a denoising diffusion model using a butterfly dataset
  ☆10Updated 5 months ago
• foolmarks / images_to_npy
  Converting images to numpy files
  ☆27Updated 3 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆31Updated last year
• ashishpatel26 / Computer-Vision-Industry-Use-Cases
  Computer Vision Industry Use Cases
  ☆60Updated last year
• ashishpatel26 / Vision-Transformer-Keras-Tensorflow-Pytorch-Examples
  Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer
  ☆97Updated 3 years ago
• amaarora / amaarora.github.io
  ☆47Updated 3 months ago
• ashishpatel26 / MLflow_End_to_End_Example
  MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.
  ☆13Updated 2 years ago
• yakhyo / pytorch-tutorials
  🤖 | Learning PyTorch through official examples
  ☆24Updated 10 months ago
• ashishpatel26 / MLFlow-End-to-End-Workshop-at-Chandigarh-University
  MLFlow End to End Workshop at Chandigarh University
  ☆11Updated last year
• ashishpatel26 / Awesome-MLOps-Course-Outline
  Awesome MLOps Course Outline
  ☆32Updated last year
• mawady / awesome-cv
  Curated educational list for computer vision
  ☆109Updated 3 weeks ago
• ThinamXx / ComputerVision
  The repository is dedicated towards the implementation of Computer Vision.
  ☆25Updated 2 years ago
• DavidLandup0 / deepvision
  PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), Res…
  ☆34Updated last year
• PacktPublishing / Tensorflow-2.0-Computer-Vision-Cookbook
  Tensorflow 2.0 Computer Vision Cookbook, published by Packt
  ☆50Updated 3 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆82Updated 2 years ago
• anhtuan85 / TensorFlow-Advanced-Techniques-Specialization
  Deeplearning.AI TensorFlow Advanced Techniques Specialization Solution
  ☆48Updated 3 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated last year