Onnxruntime
microsoft
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Results: 29
microsoft
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Unity-Technologies
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
snorkel-team
A system for quickly generating training data with weak supervision
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
opengeos
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
ahmedfgad
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
4paradigm
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
meta-pytorch
A lightweight library for PyTorch training tools and utilities
bespokelabsai
Synthetic data curation for post-training and structured data extraction
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