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Discover 1,001 open source projects
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amusi/Deep-Learning-Interview-Book
A comprehensive collection of study materials for deep learning interviews, covering various topics like machine learning, computer vision, and NLP.
mage-ai/mage-ai
mage-ai is a Python-based platform for building, running, and managing data pipelines and integrating/transforming data.
VowpalWabbit/vowpal_wabbit
A machine learning system that pushes the frontier of machine learning with various techniques.
vahidk/EffectiveTensorflow
Comprehensive TensorFlow tutorials and best practices for deep learning and machine learning developers.
bentoml/BentoML
BentoML is an easy-to-use framework for building and deploying production-ready machine learning models as APIs.
vaexio/vaex
A high-performance Python library for working with large tabular datasets, offering efficient data manipulation and visualization.
tensorflow/tfjs-core
A WebGL-accelerated JavaScript library for machine learning and deep learning on the web.
MorvanZhou/PyTorch-Tutorial
A comprehensive PyTorch tutorial for building neural networks and AI models with ease
aladdinpersson/Machine-Learning-Collection
A comprehensive collection of machine learning and deep learning resources for developers.
facebookarchive/caffe2
Caffe2 is a lightweight, scalable deep learning framework for building and deploying AI models.
google/trax
Trax is a deep learning library that provides clear code and fast performance for building AI models.
CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other powerful models.
google-deepmind/pysc2
A Python library for the StarCraft II Learning Environment, enabling reinforcement learning and machine learning.
jivoi/awesome-ml-for-cybersecurity
A curated list of machine learning techniques and resources for cybersecurity professionals.
nhivp/Awesome-Embedded
A curated list of awesome embedded programming tools and resources for vibe coders working with AI and IoT.
jackzhenguo/python-small-examples
A collection of Python code examples and tutorials for data science, machine learning, and web development.
lmcinnes/umap
UMAP is a dimension reduction library that can be used for visualization, exploration, and analysis of high-dimensional datasets.
mikel-brostrom/boxmot
A powerful multi-object tracking library with modular SOTA tracking modules for segmentation, detection, and pose estimation.
cortexlabs/cortex
Production infrastructure for running machine learning models at scale
bitsandbytes-foundation/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch developers working with AI tools.
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