continuousml

MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

engineering-blogs

A curated list of engineering blogs

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

llama2.c

Inference Llama 2 in one file of pure C

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

New-Grad-Positions

A collection of full time roles in SWE, Quant, and PM for new grads.

ml-engineering

Machine Learning Engineering Open Book

Startup-CTO-Handbook

The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

outlines

Structured Text Generation

ML-Papers-Explained

Explanation to key concepts in ML

Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

chatgpt-prompts-for-academic-writing

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

awesome-mlss

🤖 Machine Learning Summer School deadlines

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

awesome-phd-advice

Collection of advice for prospective and current PhD students

PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

torchlens

Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.

llama2.py

Inference Llama 2 in one file of pure Python

llm_distillation_playbook

Best practices for distilling large language models.

Awesome-Information-Bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

3d_nn

Raymarching neural network in browsers with WebGL shaders

cca_zoo

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

diffusion_tutorial

diffusion generative model

torch-uncertainty

Uncertainty for deep learning models in PyTorch :seedling:

book

Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"

Transformers4Vision

A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.

DotMP

A collection of powerful abstractions for parallel programming in .NET with an OpenMP-like API.

cmu-ri-resources.github.io