Horovod
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Results: 63
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
lance-format
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas…
timeseriesAI
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
rasbt
Implement a reasoning LLM in PyTorch from scratch, step by step
SwanHubX
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl /…
PeterL1n
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
KaiyangZhou
Torchreid: Deep learning person re-identification in PyTorch.
ahmedfgad
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
dragen1860
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
weslynn
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有te…
kyegomez
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
learning-at-home
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
seungeunrho
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
nschaetti
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Res…
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