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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, ... 🧠

bit-diffusion

Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

deep_learning

jigsaw-rate-severity-of-toxic-comments

keras

Deep Learning for humans

learngit

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

moss

An open-source tool-augmented conversational language model from Fudan University

pa-crf

The code of "Few-Shot Event Detection with Prototypical Amortized Conditional Random Field", Findings of ACL 2021

paper-reading

深度学习经典、新论文逐段精读

scd-net

[CVPR23] A cascaded diffusion captioning model with a novel semantic-conditional diffusion process that upgrades conventional diffusion model with additional semantic prior.

stable-dreamfusion

A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.

up-down-captioner

Automatic image captioning model based on Caffe, using features from bottom-up attention.

xmodaler

X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).