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unslothai/hyperlearn

High-performance machine learning algorithms with 2-2000x speed and 50% less memory usage for all hardware.

2.4K
Archived
Jupyter Notebook
ML Ops
Machine Learning
Jupyter Notebook
#machine-learning#performance#optimization

google/neural-tangents

Neural Tangents is a Python library for fast and easy infinite neural networks using JAX.

2.4K
Archived
Jupyter Notebook
LLM Frameworks
API Frameworks
JAX
#neural-networks#bayesian-inference#gaussian-processes

google-research-datasets/Objectron

A dataset of annotated 3D object videos for training computer vision and augmented reality models.

2.3K
Archived
Jupyter Notebook
Computer Vision
Datasets
PyTorch
#3d-vision#object-detection#point-cloud

ailia-ai/ailia-models

A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.

2.3K
Active
Python
AI SDKs & Wrappers
Computer Vision
Python
#ai-models#computer-vision#natural-language-processing

gluon-api/gluon-api

A simple, powerful, and efficient API for building deep learning models in Python.

2.3K
Active
Jupyter Notebook
LLM Frameworks
API Frameworks
Jupyter Notebook
#deep-learning#neural-networks#imperative-programming

pannous/tensorflow-speech-recognition

A deep learning-based speech recognition library built on TensorFlow for developers working with AI-powered audio apps.

2.2K
Archived
Python
Speech Recognition
API Frameworks
TensorFlow
#speech-recognition#audio-processing#deep-learning

ahmedfgad/GeneticAlgorithmPython

PyGAD is a Python 3 library for building genetic algorithms and training machine learning models.

2.2K
Experimental
Python
Agents & Orchestration
Optimization
PyTorch
#genetic-algorithm#machine-learning#optimization

golbin/TensorFlow-Tutorials

A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.

2.1K
Archived
Python
LLM Frameworks
Tutorials & Courses
TensorFlow
#deep-learning#neural-network#tensorflow

Marktechpost/AI-Tutorial-Codes-Included

A collection of Jupyter Notebook codes and tutorials for a variety of AI projects and data science tasks.

2.1K
Active
Jupyter Notebook
Tutorials & Courses
Tutorials & Courses
Jupyter Notebook
#ai#machine-learning#data-science

SciML/SciMLBook

A textbook on parallel computing and scientific machine learning methods and applications

2.0K
Active
HTML
Scientific Machine Learning
API Frameworks
#differential-equations#gpu-computing#neural-networks

ZiyaoGeng/RecLearn

A Python library for building recommender systems using popular deep learning techniques like DeepFM, NCF, and more.

2.0K
Archived
Python
Recommender Systems
API Frameworks
TensorFlow
#recommender-system#tensorflow#deep-learning

WenjieDu/PyPOTS

A Python toolkit for building machine/deep learning models on partially-observed time series data

2.0K
Active
Python
Machine Learning Ops
Databases
PyTorch
#time-series#anomaly-detection#forecasting

rguthrie3/DeepLearningForNLPInPytorch

This is a tutorial on using deep learning for natural language processing with PyTorch.

2.0K
Archived
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
PyTorch
#deep-learning#nlp#tutorial

google/nerfies

This is an open-source library for training and rendering neural radiance fields (NeRFs) with deformable 3D scenes.

1.9K
Archived
Python
Neural Rendering
API Frameworks
Python
#3d-rendering#machine-learning#neural-networks

google/sling

SLING is a natural language frame semantics parser written in C++ that can be used for machine learning and natural language processing.

1.9K
Archived
C++
NLP
API Frameworks
#natural-language-processing#machine-learning#jit-compiler

patrick-kidger/diffrax

Numerical differential equation solvers in JAX, with autodifferentiation and GPU support.

1.9K
Active
Python
ML Ops
Backend Frameworks
JAX
#differential-equations#dynamical-systems#neural-differential-equations

jakeret/tf_unet

A generic U-Net implementation in TensorFlow for image segmentation tasks.

1.9K
Archived
Python
Computer Vision
TensorFlow
#deep-learning#image-segmentation#neural-network

Palashio/libra

Ergonomic machine learning library for Python developers, focused on ease of use and accessibility.

1.9K
Stable
Python
LLM Frameworks
ML Ops
Python
#machine-learning#auto-ml#neural-networks

meta-pytorch/opacus

A library for training PyTorch models with differential privacy, enabling privacy-preserving machine learning.

1.9K
Stable
Jupyter Notebook
Machine Learning Ops
Inference
PyTorch
#differential-privacy#machine-learning#neural-network

jiesutd/NCRFpp

NCRF++: A Neural Sequence Labeling Toolkit for tasks like NER, POS tagging, and text chunking.

1.9K
Archived
Python
Agents & Orchestration
Named Entity Recognition
PyTorch
#neural-networks#sequence-labeling#chunking
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