ML Ops
Explore 799 open source projects in ML Ops
Showing 281-300 of 799 projects
webdataset/webdataset
A high-performance I/O system for large deep learning problems with strong PyTorch support.
montanaflynn/stats
A comprehensive Go statistics library with no dependencies for data analysis and machine learning.
unitreerobotics/unitree_rl_gym
RL training framework for Unitree quadruped robots with gym-compatible environments
keithito/tacotron
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model
libffcv/ffcv
Fast and efficient library for computer vision and other machine learning workloads, built on PyTorch.
sovrasov/flops-counter.pytorch
A PyTorch library for counting the number of floating-point operations (FLOPs) in neural networks.
pytorch/TensorRT
PyTorch compiler for NVIDIA GPUs using TensorRT, enabling efficient deep learning inference on CUDA hardware.
deepseek-ai/DualPipe
A parallelism algorithm for computation-communication overlap in DeepSeek AI training pipelines.
hosseinmoein/DataFrame
C++ DataFrame library for statistical, financial, and machine learning analysis.
caicloud/tensorflow-tutorial
Example TensorFlow codes and a TensorFlow as a Service dev environment for AI/ML developers.
Luolc/AdaBound
An optimizer that trains as fast as Adam and as good as SGD, useful for AI/ML developers.
dreamquark-ai/tabnet
A PyTorch implementation of the TabNet paper, a novel deep learning architecture for tabular data.
mercari/ml-system-design-pattern
A collection of system design patterns for building machine learning systems.
NVIDIA/MinkowskiEngine
A high-performance, auto-diff neural network library for 3D and 4D sparse tensor computations.
paperswithcode/releasing-research-code
Best practices guide for releasing ML research code with NeurIPS 2020 official recommendations
pybrain/pybrain
A general-purpose machine learning library for Python, useful for a variety of AI and ML tasks.
ethereon/caffe-tensorflow
A library for running Caffe models in TensorFlow, enabling developers to leverage existing Caffe models in their TensorFlow-based projects.
susanli2016/NLP-with-Python
A collection of Jupyter Notebooks demonstrating various NLP techniques and libraries like Scikit-Learn, NLTK, Spacy, and Gensim.
tensorflow/tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets.
tensorflow/ranking
A TensorFlow library for learning to rank and build recommender systems using machine learning.
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