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a.i.gar

The Bachelor Project of Anton Orell Wiehe and Nil Stolt Ànso. We implement different reinforcement learning algorithms on a self-written agar.io clone and compare them.

adapter-transformers

Huggingface Transformers + Adapters = ❤️

aigar

Replica of the online game agar.io, wrapped into an OpenAI gym wrapper

aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

audioclip

Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)

auvimi

AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken.

beatnet

BeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).

big-sleep

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN

clip

Contrastive Language-Image Pretraining

clip_playground

cv

cv-project-2020

deep-daze

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

deep-rl-torch

Modular Deep Reinforcement Learning libary based on PyTorch

demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

diffusion_gen

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hac-towerbuilding

icp_prediction

instascrape

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

lucid-sonic-dreams

master_thesis

notnanton.github.io

pentago-negamax-ai

This is a small project of mine that I worked on during the summer break.

pod_prediction

prioritized_sampling

roboro

An implementation of modular deep reinforcement learning algorithms (RL) from scratch. It is based on essential libraries such as pytorch-lightning for training organization, hydra for command line input and configuartions, and mlflow for experiment logging.

stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation