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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

brainmagick

Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.

cosinecreature-unity

cvae_pytorch

Just for learning.

d4rl-pybullet

Datasets for data-driven deep reinforcement learning with PyBullet environments

dalle2-pytorch

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

dalle2-video

Video generation from CLIP embeddings, based on DALLE2-pytorch

deeplabcut_cuedfc

Analyze freezing rate and other behavioral aspects of animals, using data from DeepLabCut. Especially optimized for cued fear conditioning.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dgm2022

dl-basics

encoder4editing

Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fiberphotometry_analysis

Fiber Photometry data analysis, writing codes by myself for study.

generative-query-network-pytorch

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

image-decoding

Unofficial minimal re-implementation of the paper "Brain Decoding: Toward Real-Time Reconstruction of Visual Perception" from FAIR, Meta

img2eeg

Gifford et al., bioRxiv (2021) reproduction for Colab

index

intan_rhs_spykingcircus

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

ndr

The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".

pytorch-fid

Compute FID scores with PyTorch.

pytorch-transfomer

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

seannobel

personal

snn-unity

Personal project to build SNN learning system on Unity

speech-decoding

Reimplementation of speech decoding 2022 paper by MetaAI

steinmetz_utils

tfc-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

trajectory-transformer

Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"