Lightweight framework for data-loading with PyTorch and harvesting the power of (PyTorch) lightning

🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.

Language Modeling with PyTorch

A high-throughput and memory-efficient inference and serving engine for LLMs

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A toolkit for preprocessing, training and inference

Custom software development services specializing in AI/ML, data analysis, web scraping, and automation.

Bharat Leaf Lens is your pocket guide to identifying medicinal plants in India. No user images are stored in our database, ensuring privacy.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Enabling PyTorch on XLA Devices (e.g. Google TPU)

Stable Diffusion web UI

An Engine-Agnostic Deep Learning Framework in Java

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Causal RL: Reverse-Environment Network Integrated Actor-Critic Algorithm

The Unified AI Framework

Signal processing project repo

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

A library for training and deploying machine learning models on Amazon SageMaker

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more