Official repository for "AM-RADIO: Reduce All Domains Into One"

An intuitive LLM prompting framework for multifunctional agents, by explicitly constructing a complex "thought process" from simple natural language prompts.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Numbers every LLM developer should know

A curated list of reinforcement learning with human feedback resources (continually updated)

Revealing example of self-attention, the building block of transformer AI models

A playbook for systematically maximizing the performance of deep learning models.

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Mega list of 1 on 1 meeting questions compiled from a variety to sources

A comprehensive guide to 50 years of evolution of strict C programming, a tribute to Dennis Ritchie's language

Generate sandboxes for C/C++ libraries automatically

Materials for the Design Patterns webinar

A silly emotional rant about the state of devops tooling/the infrastructure sector in 2018. #noyaml.com

CuLE: A CUDA port of the Atari Learning Environment (ALE)

supplementary material/programming exercises

A command line shell for trading stocks using Robinhood

An elegant PyTorch deep reinforcement learning library.

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)

C++ Frequently Questioned Answers (FQA)

Virtual-Taobao simulators with OpenAI Gym interface

a reference Implementation for the predictors in the "Closed-loop" INTERPRET prediction challenge

Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory

A collection of research papers and software related to explainability in graph machine learning.