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Product @refyne
- Gujarat, India
- https://www.linkedin.com/in/suryavanshivirendrasingh/
- @SuryavanshiVS
Highlights
Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
A High-Quality Real Time Upscaler for Anime Video
Your new Mentor for Data Science E-Learning.
This repository contains implementations and illustrative code to accompany DeepMind publications
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Code release for NeRF (Neural Radiance Fields)
YSDA course in Natural Language Processing
Best Practices, code samples, and documentation for Computer Vision.
TensorFlow Tutorials with YouTube Videos
A scikit-learn compatible neural network library that wraps PyTorch
The 3rd edition of course.fast.ai
A collection of infrastructure and tools for research in neural network interpretability.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Language-Agnostic SEntence Representations
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A crash course in six episodes for software developers who want to become machine learning practitioners.
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library