njw0709's Stars
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.
LAION-AI/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
pytorch/serve
Serve, optimize and scale PyTorch models in production
richzhang/PerceptualSimilarity
LPIPS metric. pip install lpips
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural nets
dvanoni/notero
A Zotero plugin for syncing items and notes into Notion
Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
microsoft/mup
maximal update parametrization (µP)
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
BachiLi/redner
Differentiable rendering without approximation.
ShichenLiu/SoftRas
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
ysymyth/awesome-language-agents
List of language agents based on paper "Cognitive Architectures for Language Agents"
LeapLabTHU/DAT
Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention
martinResearch/DEODR
A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
phurwicz/hover
:speedboat: Label data at scale. Fun and precision included.
dicarlolab/CORnet
[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition
aws-actions/aws-cloudformation-github-deploy
Deploys AWS CloudFormation Stacks
Hadisalman/smoothing-adversarial
Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
xianggebenben/dlADMM
dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
codingpot/git-mlops
cgtuebingen/Product-Quantization-Tree
GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016
aws-samples/amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
saeed771/cpp_book
sompolinsky-lab/dnn-object-manifolds
Datalab-FIT-CTU/weather4cast-2022
WeatherFusionNet - our solution to the NeurIPS 2022 Weather4cast competition
ben-izd/shared_memory
Share data between Python - Julia - Matlab - Java - Wolfram Language (Mathematica) through memory
EPFL-LCN/pub-illing2021-neurips
Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised contrastive predictions
itsderek23/lessons
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
lauraaisling/sw-interpretability