deep-learning

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)

Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis

The "tl;dr" on a few notable transformer papers (pre-2022).

Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch

An implementation of masked language modeling for Pytorch, made as concise and simple as possible

A one-stop library to standardize the inference and evaluation of all the conditional image generation models. [ICLR 2024]

Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind

extending stable diffusion prompts with suitable style cues using text generation

Implementation of Fast Transformer in Pytorch

Interpret text data with LLMs (sklearn compatible).

A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.

learning materials for PyTorch beginners

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows

Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"

Abstractive Text Summarization using Transformer

The official implementation of the paper titled "StableV2V: Stablizing Shape Consistency in Video-to-Video Editing".

RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning

[IEEE TCSVT'26] 🂡 AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation

Corpus of resources for multimodal machine learning with physiological signals (mmps).