Pinned Repositories
openvino_contrib
openvino_quantization
This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.
openvino
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
likholat's Repositories
likholat/openvino_quantization
This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.
likholat/openvino_contrib
likholat/openvino_pytorch_layers
How to export PyTorch network with MaxUnpool to ONNX and then to Intel OpenVINO
likholat/axpyLab
likholat/CV_cource
likholat/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
likholat/DEKR
This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)
likholat/devtools-course-practice
Course on Development Tools (in Russian)
likholat/direct
Deep learning framework for image reconstruction
likholat/DPT
Dense Prediction Transformers
likholat/Gomoku
Gomoku game for two players on socket
likholat/gpt-fast
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
likholat/gte_ov_cpp_demo
likholat/ML_course
likholat/mmdeploy
OpenMMLab Model Deployment Framework
likholat/NLP_course
likholat/open_model_zoo
Pre-trained Deep Learning models and samples (high quality and extremely fast)
likholat/openvino
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
likholat/openvino.genai
Run Generative AI models using native OpenVINO C++ API
likholat/openvino_android
likholat/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
likholat/ov_custom_layer_support_guide
likholat/retrosynthesis_planner
Retrosynthesis planner
likholat/Rover
likholat/serve
Serve, optimize and scale PyTorch models in production
likholat/spline
likholat/stable-diffusion-webui
Stable Diffusion web UI
likholat/TChart
likholat/tsi_lab2
likholat/wakeup-system
Smart Wake-Up System: A MSc project giving independence for patients with disabilities in long-term care. This innovative system utilises machine learning models for patient interaction, incorporates an emergency alert feature, and integrates healthcare information using the FHIR standard.