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facebookresearch/fastMRI

A large-scale dataset of raw MRI measurements and clinical MRI images for medical imaging research.

1.5K
Archived
Python
Computer Vision
Datasets
PyTorch
#medical-imaging#mri-reconstruction#deep-learning

tigerneil/awesome-deep-rl

A curated list of resources for deep reinforcement learning and the future of AI.

1.5K
Archived
HTML
Reinforcement Learning
Tutorials & Courses
#reinforcement-learning#deep-learning#ai-research

tstanislawek/awesome-document-understanding

A curated list of resources for Document Understanding (DU) related to machine learning and natural language processing.

1.5K
Archived
Computer Vision
Natural Language Processing
#document-understanding#pdf-processing#ocr

h2oai/h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

1.5K
Archived
Jupyter Notebook
Machine Learning Ops
Databases
#machine-learning#data-science#python

sepandhaghighi/pycm

A Python library for creating multi-class confusion matrices, useful for evaluating machine learning models.

1.5K
Active
Python
ML Ops
Data Analysis
#accuracy#classification#confusion-matrix

davidADSP/GDL_code

Code repository for examples in the book 'Generative Deep Learning' focused on AI and ML topics.

1.5K
Archived
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
#deep-learning#generative-ai#machine-learning

interpretml/DiCE

Generate diverse counterfactual explanations for machine learning models.

1.5K
Experimental
Python
React
#counterfactual-explanations#explainable-ai#machine-learning

daavoo/pyntcloud

A Python library for working with 3D point clouds.

1.5K
Active
Python
#3d-point-clouds#python-library#point-clouds

superlinked/superlinked

Superlinked is a Python framework for building high-performance search & recommendation apps with structured and unstructured data.

1.5K
Stable
Jupyter Notebook
LLM Frameworks
RAG & Vector
Python
#data-pipeline#embeddings#information-retrieval

NVIDIAGameWorks/kaolin-wisp

A PyTorch library for working with neural fields like NeRFs, NGLOD, instant-ngp, and VQAD.

1.5K
Archived
Python
Computer Vision
API Frameworks
PyTorch
#nerf#neuralfields#3d-deep-learning

Xilinx/brevitas

Brevitas is a PyTorch library for neural network quantization, enabling efficient hardware acceleration on FPGAs and other devices.

1.5K
Active
Python
ML Ops
FPGA
PyTorch
#deep-learning#neural-networks#quantization

ahangchen/GDLnotes

Google Deep Learning Notes - a comprehensive tutorial on TensorFlow for machine learning and deep learning.

1.5K
Archived
Python
LLM Frameworks
Tutorials & Courses
TensorFlow
#deep-learning#machine-learning#tensorflow

deependersingla/deep_trader

This project uses reinforcement learning to train an AI agent to learn stock trading strategies.

1.5K
Archived
Python
Agents & Orchestration
API Frameworks
Python
#reinforcement-learning#stock-trading#ai-agent

yeyun111/dlcv_for_beginners

A library of code samples and examples for deep learning and computer vision, targeting beginners.

1.5K
Archived
Python
Computer Vision
Tutorials & Courses
PyTorch
#deep-learning#computer-vision#beginners

tjwei/GANotebooks

Implementation of various generative adversarial network (GAN) models in popular deep learning frameworks

1.5K
Archived
Jupyter Notebook
ML Ops
Computer Vision
Keras
#gan#dcgan#infogan

soumith/dcgan.torch

A PyTorch implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) for developers interested in AI-powered image generation.

1.5K
Archived
Lua
Computer Vision
AI SDKs & Wrappers
PyTorch
#generative-adversarial-networks#image-generation#deep-learning

hkchengrex/Tracking-Anything-with-DEVA

An open-vocabulary video segmentation model that can track any object in a video, for video editing and processing.

1.5K
Experimental
Python
Computer Vision
Video Segmentation
Python
#object-tracking#open-vocabulary#video-editing

OpenNMT/OpenNMT-tf

A deep learning and neural machine translation library built with TensorFlow for sequence learning tasks.

1.5K
Archived
Python
LLM Frameworks
API Frameworks
TensorFlow
#deep-learning#machine-translation#natural-language-processing

yulunzhang/RCAN

PyTorch code for image super-resolution using very deep residual channel attention networks

1.5K
Experimental
Python
React
#deep learning#image processing#super-resolution

Hironsan/anago

A Python library for named-entity recognition, part-of-speech tagging, and other NLP tasks using LSTM-CRF and ELMo models.

1.5K
Archived
Python
NLP
API Frameworks
Keras
#named-entity-recognition#part-of-speech-tagging#sequence-labeling
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