surfcao's Stars
jlevy/the-art-of-command-line
Master the command line, in one page
meta-llama/llama
Inference code for Llama models
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
karpathy/llm.c
LLM training in simple, raw C/CUDA
KindXiaoming/pykan
Kolmogorov Arnold Networks
ahrm/sioyek
Sioyek is a PDF viewer with a focus on textbooks and research papers
gaomingqi/Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
google-deepmind/graphcast
ishan0102/vimGPT
Browse the web with GPT-4V and Vimium
amazon-science/chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
yu-takagi/StableDiffusionReconstruction
Takagi and Nishimoto, CVPR 2023
Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models
rememberYou/.emacs.d
🎉 Personal GNU Emacs configuration
graphhopper/open-traffic-collection
Collection of open data resources for traffic information
google/revisiting-self-supervised
ChenDelong1999/RemoteCLIP
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
corneliusmunz/legoino
Arduino Library for controlling Powered UP and Boost controllers
pierremtb/PINNs-TF2.0
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
microsoft/satclip
PyTorch implementation of SatCLIP
NVlabs/stylegan3-detector
ihmeuw/ihme-modeling
GATHER compliant code for the GBD
JakobCode/UncertaintyInNeuralNetworks_Resources
NREL/sup3r
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
psanch21/causal-flows
Orion-AI-Lab/mesogeos
A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger forecasting, burned area prediction, etc
joeloskarsson/CGAN-regression
Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"
PrincetonLIPS/MaM
Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
cscarv/riemannian-metric-learning-ot
AndyShih12/mac
PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Paper Honorable Mention
healthinnovation/epi-rgee
rgee workshop applied to epidemiological studies ⚕️🌎🌍🌏. rgee is an R binding package for calling Google Earth Engine API from within R.