DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
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Updated
Apr 16, 2025 - Python
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
中文NER的那些事儿
👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.
MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.
ClearML - Model-Serving Orchestration and Repository Solution
tensorflow prediction using c++ api
export bert model for serving
Deploying Keras models using TensorFlow Serving and Flask
Free and Open Source alternative to Amazon's Rekognition service. CCExtractor Development | Poor Man's Rekognition
YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
Deploy DL/ ML inference pipelines with minimal extra code.
Examples to server tensorflow models with tensorflow serving
Implement some hair segmentation network and a color similarity calculating method.
NSFW classify model implemented with tensorflow.
Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving
A curated list of awesome inference deployment framework of artificial intelligence (AI) models. OpenVINO, TensorRT, MediaPipe, TensorFlow Lite, TensorFlow Serving, ONNX Runtime, LibTorch, NCNN, TNN, MNN, TVM, MACE, Paddle Lite, MegEngine Lite, OpenPPL, Bolt, ExecuTorch.
Use BERT to train a classification model and deploy the model by tensorflow serving
Create a visual search engine using tensorflow serving, elasticsearch, vuejs and nginx.
A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network
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