openvino
AI inference toolkit
A toolkit for optimizing and deploying artificial intelligence models in various applications
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
7k stars
196 watching
2k forks
Language: C++
last commit: about 15 hours ago
Linked from 2 awesome lists
aicomputer-visiondeep-learningdeploy-aidiffusion-modelsgenerative-aigood-first-issueinferencellm-inferencenatural-language-processingnlpopenvinooptimize-aiperformance-boostrecommendation-systemspeech-recognitionstable-diffusiontransformersyolo
Related projects:
Repository | Description | Stars |
---|---|---|
openvinotoolkit/open_model_zoo | A collection of pre-trained deep learning models and demo applications for accelerating inference tasks | 4,102 |
openvinotoolkit/anomalib | A deep learning library for detecting anomalies in data with algorithms and tools for benchmarking, training, and deploying models. | 3,833 |
mlfoundations/open_flamingo | A framework for training large multimodal models to generate text conditioned on images or other text. | 3,742 |
triton-inference-server/server | Provides an optimized cloud and edge inferencing solution for AI models | 8,342 |
llmware-ai/llmware | A framework for building enterprise LLM-based applications using small, specialized models | 6,651 |
luolc/adabound | An optimizer that combines the benefits of Adam and SGD algorithms | 2,907 |
coqui-ai/tts | A deep learning toolkit for generating human-like speech from text | 35,453 |
ludwig-ai/ludwig | A low-code framework for building custom deep learning models and neural networks | 11,189 |
openai/baselines | High-quality implementations of reinforcement learning algorithms for research and development purposes | 15,827 |
imoneoi/openchat | Fine-tuned language models trained on mixed-quality data | 5,260 |
hegelai/prompttools | A set of tools for testing and evaluating natural language processing models and vector databases. | 2,718 |
open-mmlab/mmdeploy | A toolset for deploying deep learning models on various devices and platforms | 2,774 |
pytorch/botorch | A PyTorch-based library for Bayesian optimization, providing a modular interface for composing and optimizing probabilistic models. | 3,102 |
higgsfield-ai/higgsfield | A framework for efficient and fault-tolerant distributed training of large neural networks on multiple GPUs. | 3,293 |
exo-explore/exo | Allows developers to run AI models on personal devices with diverse hardware configurations. | 14,829 |