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An Open Source Machine Learning Framework for Everyone
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets.
scikit-learn: machine learning in Python
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Apache Spark - A unified analytics engine for large-scale data processing
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel tβ¦
A complete daily plan for studying to become a machine learning engineer.
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.
A curated list of awesome Deep Learning tutorials, projects and communities.
π€ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Interactive Data Visualization in the browser, from Python
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Tensorflow2.0 ππ is delicious, just eat it! ππ
QLoRA: Efficient Finetuning of Quantized LLMs
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A collection of machine learning examples and tutorials.
Deep Learning Specialization by Andrew Ng on Coursera.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Content for Udacity's Machine Learning curriculum
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.