Rewcifer's starred repositories
gradient_descent_viz
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
commented-transformers
Highly commented implementations of Transformers in PyTorch
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
MachineLearning-QandAI-book
Machine Learning Q and AI book
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
palantir-python-sdk
Palantir Python SDK
feature-engineering-az
Source for book "Feature Engineering A-Z"
free-programming-books
:books: Freely available programming books
data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
The-Complete-OpenAI-JS-APIs-Course---Build-15-Projects
The Complete OpenAI JS APIs Course - Build 15 Projects, by Packt Publishing
Awesome-Decision-Science
Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets et libs open source.
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
ProgrammingForAnalytics
Course material for an intro to programming class for analytics students
nanoGPT_mlx
Port of Andrej Karpathy's nanoGPT to Apple MLX framework.
Tensor-Puzzles
Solve puzzles. Improve your pytorch.
LLM-Shearing
[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
promptbase
All things prompt engineering
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
ml-engineering
Machine Learning Engineering Open Book
fine-tune-mistral
Fine-tune mistral-7B on 3090s, a100s, h100s
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.