Stars
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Repository for CARTE: Context-Aware Representation of Table Entries
MAGI-1: Autoregressive Video Generation at Scale
An open source implementation of CLIP.
tulip-berkeley / open_clip
Forked from mlfoundations/open_clipAn open source implementation of CLIP (With TULIP Support)
A fast Lomb-Scargle periodogram. It's nifty, and uses a NUFFT!
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
ORACLE - The first hierarchical deep-learning model for real-time, context-aware classification of the LSST alert stream
Astronomical Transformer for time series And Tabular data
A codebase dedicated to exploring multimodal learning approaches by integrating images of host galaxies of supernovae and their corresponding light-curves and spectra.
High accuracy RAG for answering questions from scientific documents with citations
Unified Training of Universal Time Series Forecasting Transformers
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
Code to reproduce results in the paper, deepCR: Cosmic Ray Rejection with Deep Learning (Zhang & Bloom (2019))
Deep Learning Based Cosmic Ray Removal for Astronomical Images
An extremely fast Python package and project manager, written in Rust.
A collaborative platform for reproducible research (web interface and CLI).
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
LaTeX Template with an example Statement of Purpose (SoP) for CS PhD and graduate school applicants.
Large-Scale Multimodal Dataset of Astronomical Data
Extensible, parallel implementations of t-SNE
The most impactful papers related to contrastive pretraining for multimodal models!
A playbook for systematically maximizing the performance of deep learning models.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)
The code of GaSNet-II. Arxiv: https://arxiv.org/abs/2311.04146
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Cyclic-permutation invariant networks for classifying periodic time-series