Pinned Repositories
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
hwt582899's Repositories
hwt582899/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, ... 🧠
hwt582899/bit-diffusion
Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
hwt582899/bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
hwt582899/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.
hwt582899/deep_learning
hwt582899/Jigsaw-Rate-Severity-of-Toxic-Comments
hwt582899/keras
Deep Learning for humans
hwt582899/learngit
hwt582899/machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
hwt582899/MOSS
An open-source tool-augmented conversational language model from Fudan University
hwt582899/PA-CRF
The code of "Few-Shot Event Detection with Prototypical Amortized Conditional Random Field", Findings of ACL 2021
hwt582899/paper-reading
深度学习经典、新论文逐段精读
hwt582899/SCD-Net
[CVPR23] A cascaded diffusion captioning model with a novel semantic-conditional diffusion process that upgrades conventional diffusion model with additional semantic prior.
hwt582899/stable-dreamfusion
A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.
hwt582899/Up-Down-Captioner
Automatic image captioning model based on Caffe, using features from bottom-up attention.
hwt582899/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).