A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

A generative speech model for daily dialogue.

[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.

EVA: Large-scale Pre-trained Chit-Chat Models

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

Code for paper "Vocabulary Learning via Optimal Transport for Neural Machine Translation"

Transformers for Longer Sequences

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

A Review of Deep Learning Methods on ECG Data

my resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

Facilitating the design, comparison and sharing of deep text matching models.

pytorch implementation of transformer for 1D data

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

A list of papers on Generative Adversarial (Neural) Networks

Must-read Papers on pre-trained language models.

DeepWalk - Deep Learning for Graphs

Deep Learning on ECG, the First place in the PhysioNet/CinC Challenge 2017 (F1=0.83)

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019

A curated list of network embedding techniques.

A collection of AWESOME things about domian adaptation

A curated list of ML|NLP resources for healthcare.

Graph Neural Network Library for PyTorch

Learn how to design, develop, deploy and iterate on production-grade ML applications.