NotNANtoN

aigar

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

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.

CLIP_playground

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

diffusion_gen

lucid-sonic-dreams

master_thesis

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.

NotNANtoN/diffusion_gen

NotNANtoN/lucid-sonic-dreams

NotNANtoN/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.

NotNANtoN/aigar

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

NotNANtoN/Deep-RL-Torch

Modular Deep Reinforcement Learning libary based on PyTorch

NotNANtoN/AudioCLIP

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

NotNANtoN/CLIP_playground

NotNANtoN/master_thesis

NotNANtoN/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.

NotNANtoN/deep-daze

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

NotNANtoN/diffusers

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

NotNANtoN/stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation

NotNANtoN/CV-Project-2020

NotNANtoN/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.

NotNANtoN/adapter-transformers

Huggingface Transformers + Adapters = ❤️

NotNANtoN/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.

NotNANtoN/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).

NotNANtoN/big-sleep

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

NotNANtoN/CLIP

Contrastive Language-Image Pretraining

NotNANtoN/CV

NotNANtoN/demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

NotNANtoN/gym

A toolkit for developing and comparing reinforcement learning algorithms.

NotNANtoN/HAC-TowerBuilding

NotNANtoN/icp_prediction

NotNANtoN/instascrape

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

NotNANtoN/lora

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

NotNANtoN/notnanton.github.io

NotNANtoN/POD_prediction

NotNANtoN/prioritized_sampling

NotNANtoN/train2generalize

Use MAML on a single dataset in order to generalize instead of matching patterns