ML Ops
Explore 798 open source projects in ML Ops
Showing 741-760 of 798 projects
guillaume-chevalier/seq2seq-signal-prediction
A TensorFlow-based sequence-to-sequence (seq2seq) RNN model for signal forecasting and time series prediction.
OpenGVLab/VideoMamba
VideoMamba is a state space model for efficient video understanding, focused on AI and machine learning.
google-deepmind/mujoco_warp
A GPU-optimized version of the MuJoCo physics simulator designed for NVIDIA hardware.
Azure/AzurePublicDataset
Azure/AzurePublicDataset is a repository containing Microsoft Azure Traces, a Jupyter Notebook-based resource.
ACEsuit/mace
A fast and accurate machine learning library for building interatomic potentials with higher order equivariant message passing.
bitzhangcy/Neural-PDE-Solver
This is a library for solving partial differential equations using neural networks.
seongjunyun/Graph_Transformer_Networks
An implementation of Graph Transformer Networks, a neural network architecture for graph-structured data.
apache/systemds
An open-source ML system for the end-to-end data science lifecycle, including Java and Python support.
JohnSnowLabs/spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark, a popular open-source library for natural language processing.
rhiever/datacleaner
A Python tool that automatically cleans and preprocesses data for analysis and machine learning.
Stonesjtu/pytorch_memlab
A Python library for profiling and inspecting memory usage in PyTorch applications.
siboehm/SGEMM_CUDA
A fast CUDA matrix multiplication library from scratch for high-performance computing and AI workloads.
pdebench/PDEBench
An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.
grf-labs/grf
A powerful C++ library for building causal models and performing advanced statistical analysis.
DepthAnything/PromptDA
A Python library for depth estimation and 3D/4D reconstruction using AI-powered prompts.
databricks/spark-sklearn
Deprecated Scikit-learn integration package for Apache Spark, useful for machine learning on big data.
openai/InfoGAN
Code for reproducing key results in the paper 'InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets'
THU-MIG/RepViT
A PyTorch library for training and deploying efficient computer vision models using ViT-based architectures.
jacobgil/vit-explain
A library for explaining the decisions made by Vision Transformers, a type of AI model used for computer vision tasks.
curiousily/Deep-Learning-For-Hackers
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
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