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jetson_stats

📊 Simple package for monitoring and control your NVIDIA Jetson [Xavier NX, Nano, AGX Xavier, TX1, TX2]

lectures

Oxford Deep NLP 2017 course

machine-learning-notes

In this repository, I will publish my notes for GaTech's Machine Learning course CS7621.

metalearningpapers

A classified list of meta learning papers based on realm.

mish

Mish Deep Learning Activation Function for PyTorch / FastAI

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml

:computer: CS446: Machine Learning in Spring 2018, UIUC

ml_paper_notes

:book: Notes and summaries of some Machine Learning / Computer Vision / NLP papers.

mlnotes

mustreadpapers

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nmt

TensorFlow Neural Machine Translation Tutorial

npca

📃 Exploration of Nonlinear Component Analysis as a Kernel Eigenvalue Problem

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

over9000

Over9000 optimizer

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

rl

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

rl_algo

simpleselfattention

soft-eng-interview-prep

Everything you need to know for a Software Engineering interview

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

umich-eecs445-f16

Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.

umich-eecs545-lectures

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs