adriennekline
Assistant Professor @ Northwestern University and Head of Engineering & AI @ Center for AI @ BCVI Northwestern Medicine
Northwestern UniversityChicago
adriennekline's Stars
lm-sys/llm-decontaminator
Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"
pyannote/pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
sczhou/CodeFormer
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
zsyOAOA/ResShift
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
fepegar/torchio
Medical imaging toolkit for deep learning
Yangzhangcst/Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
brevdev/notebooks
Collection of notebook guides created by the Brev.dev team!
FunAudioLLM/SenseVoice
Multilingual Voice Understanding Model
Omid-Nejati/MedViT
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
DigitalPhonetics/IMS-Toucan
Multilingual and Controllable Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart.
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
AarohiSingla/Image-Classification-Using-Vision-transformer
Image Classification Using Vision transformer from Scractch
microsoft/Phi-3CookBook
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
coqui-ai/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
danielmiessler/fabric
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
adriennekline/psmpy
propensity score matching in python
All-Hands-AI/OpenHands
🙌 OpenHands: Code Less, Make More
huggingface/cookbook
Open-source AI cookbook
stefanknegt/Probabilistic-Unet-Pytorch
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
Lipurple/Grounded-Diffusion
Open-vocabulary Object Segmentation with Diffusion Models
yandex-research/ddpm-segmentation
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
JuliaWolleb/Diffusion-based-Segmentation
This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
MedicineToken/MedSegDiff
Medical Image Segmentation with Diffusion Model
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
facebookresearch/Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
MIC-DKFZ/nnUNet
viplabB/SBD
facebookresearch/seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation