Callidior
Machine Learning Scientist at Carl Zeiss AG, Corporate Research and Technology. Previously: PostDoc at University of Jena (Germany), Computer Vision Group.
Carl Zeiss AG, Corporate Research & TechnologyJena, Germany
Callidior's Stars
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.
suno-ai/bark
🔊 Text-Prompted Generative Audio Model
lllyasviel/ControlNet
Let us control diffusion models!
myshell-ai/OpenVoice
Instant voice cloning by MyShell.
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
VikParuchuri/marker
Convert PDF to markdown quickly with high accuracy
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
stas00/ml-engineering
Machine Learning Engineering Open Book
Stability-AI/StableStudio
Community interface for generative AI
lmcinnes/umap
Uniform Manifold Approximation and Projection
threestudio-project/threestudio
A unified framework for 3D content generation.
facebookresearch/deit
Official DeiT repository
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
osmr/imgclsmob
Sandbox for training deep learning networks
intel/neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
harskish/ganspace
Discovering Interpretable GAN Controls [NeurIPS 2020]
Audio-AGI/AudioSep
Official implementation of "Separate Anything You Describe"
MasterBin-IIAU/UNINEXT
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
ZrrSkywalker/Personalize-SAM
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
dbolya/tide
A General Toolbox for Identifying Object Detection Errors
MIC-DKFZ/nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
JJGO/UniverSeg
UniverSeg: Universal Medical Image Segmentation
kach/gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
Confusezius/Revisiting_Deep_Metric_Learning_PyTorch
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
wutong16/HyperDreamer
(Siggraph Asia 2023) Official code of "HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image"
neuralmagic/docs
Top-level directory for documentation and general content
gqa-ood/GQA-OOD
GQA-OOD is a new dataset and benchmark for the evaluation of VQA models in OOD (out of distribution) settings.
dionhaefner/pgfcache
LaTeX package for caching of PGF figures created with Matplotlib, just like tikz-externalize