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Discover 817 open source projects
Showing 261-280 of 817 projects
VainF/Torch-Pruning
A high-performance library for efficient neural network pruning and compression across LLMs, vision models, and more.
ysh329/deep-learning-model-convertor
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
mljar/mljar-supervised
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
Anttwo/SuGaR
Official PyTorch implementation of an efficient 3D mesh reconstruction and high-quality rendering technique.
google-deepmind/dm-haiku
A JAX-based neural network library for building and training deep learning models.
sbrugman/deep-learning-papers
A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.
louisfb01/best_AI_papers_2022
A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.
alpa-projects/alpa
Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.
tirthajyoti/Data-science-best-resources
A curated collection of resources for data science and machine learning enthusiasts.
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural networks, a powerful tool for AI and ML researchers.
embeddings-benchmark/mteb
MTEB is a benchmark for evaluating and comparing text embedding models across multiple tasks and languages.
neomjs/neo
A multi-threaded, AI-native runtime with a persistent Scene Graph, enabling AI agents to introspect and mutate the living application structure in real-time.
nidhaloff/igel
A delightful machine learning tool that allows you to train, test, and use models without writing code
OHF-Voice/piper1-gpl
Fast local neural text-to-speech engine for offline voice synthesis
ARM-software/ComputeLibrary
A computer vision and machine learning library optimized for Arm CPUs and GPUs using SIMD technologies.
zzw922cn/awesome-speech-recognition-speech-synthesis-papers
A comprehensive collection of research papers on automatic speech recognition, speech synthesis, and related topics.
docarray/docarray
A Python library for representing, sending, storing, and searching multimodal data in AI and ML applications.
bfortuner/ml-glossary
A comprehensive machine learning glossary and cheatsheet for data scientists and AI developers.
cysmith/neural-style-tf
A TensorFlow-based implementation of Neural Style, a technique for applying the style of one image to the content of another.
diegoantognini/pyGAT
A PyTorch implementation of the Graph Attention Network model for developers working with AI tools.
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