mauicv

world-model-rl

Reinforcement learning done inside of learned world models

twm

Transformer-based World Models

MLServer

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

transformers

Implementation of Decoder only Transformers for experimentation

PerceptualSimilarity

LPIPS metric. pip install lpips

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

genesis-tubs-engine

text-generation-inference

SoundStream

This repository is an implementation of this article: https://arxiv.org/pdf/2107.03312.pdf

vaegan

Implementation of variational auto-encoders trained using an adversarial perceptual loss

tuning_playbook

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

PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

VAEGAN-PYTORCH

VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.

vaegan-pytorch

PyTorch implementation of VAEGAN

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

lightly

A python library for self-supervised learning on images.

goven

Goven (go-oven) is a go library that allows you to have a drop-in query language for your database schema.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

dual-obsidian-client

A skilled virtual assistant for Obsidian.

mypythonservice

A template for creating a well behaved system service for your Python program.

toy-ml-pipeline

Toy example of an applied ML pipeline for me to experiment with MLOps tools.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

models

Models and examples built with TensorFlow

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

awesome

😎 Awesome lists about all kinds of interesting topics

today-chrome-extension

A chrome extension that reminds you of your top priority for the day when opening a new tab.

chapter

A self-hosted event management tool for nonprofits