Highlights
- Pro
Lists (2)
Sort Name ascending (A-Z)
Stars
Source code for Django For Beginners, Fifth Edition.
Carefully curated resource links for data science in one place
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
List of Data Science Cheatsheets to rule the world
Collection of data science projects in Python
đź“ť An awesome Data Science repository to learn and apply for real world problems.
Toturials coming with the "data science roadmap" picture.
10 Weeks, 20 Lessons, Data Science for All!
Free Data Engineering course!
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Open standard for machine learning interoperability
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Machine learning in Python with scikit-learn MOOC
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…
nginx django docker architecture to host notebooks embedded from open-edx hosted MOOCs
Contenu pédagogique du MOOC Python3 sur fun-mooc.fr
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
Master the command line, in one page
XML data source for Spark SQL and DataFrames
A collection of Jupyter notebooks for AI and ML tasks. Explore, learn, and contribute to advance your skills in artificial intelligence and machine learning. #Hacktoberfest friendly!
Gentle introduction to one class SVM with toy example, Python