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Collect awesome best papers from top AI conferences.
Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
Pytorch (Lightning) implementation of the Mamba model
Robust Speech Recognition via Large-Scale Weak Supervision
Fast and accurate automatic speech recognition (ASR) for edge devices
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A unified, comprehensive and efficient recommendation library
This project aims to automatically translate and summarize Huggingface's daily papers into Korean using ChatGPT.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Speech, Language, Audio, Music Processing with Large Language Model
Universal Monocular Metric Depth Estimation
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
A comprehensive list of awesome contrastive self-supervised learning papers.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
Github repository for Data Science Course Fall 2018 offered at Information Technology University, Punjab Pakistan.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
PyTorch deep learning projects made easy.