deep-learning

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing" [CVPR 2025]

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.

CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.

Build a ChatGPT like LLM from scratch in PyTorch, explained step by step.

Yuno is context based search engine for anime.

ML & DL roadmap with curated resources like videos, articles, research-papers, competitions, projects etc.

Compare neural networks by their feature similarity

基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"

Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.

A novel approach for synthesizing tabular data using pretrained large language models

music generation with masked transformers!

Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch

Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"