DELTA is a deep learning based natural language and speech processing platform.
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Updated
Apr 19, 2024 - Python
DELTA is a deep learning based natural language and speech processing platform.
Adlik: Toolkit for Accelerating Deep Learning Inference
中文NER的那些事儿
👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
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.
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
tensorflow prediction using c++ api
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
export bert model for serving
ClearML - Model-Serving Orchestration and Repository Solution
Deploying Keras models using TensorFlow Serving and Flask
Open Toolkit for Painless Object Detection
YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
基于tensorflow & tf-servering & flask 的图像检索
Free and Open Source alternative to Amazon's Rekognition service. CCExtractor Development | Poor Man's Rekognition
Deploy DL/ ML inference pipelines with minimal extra code.
Examples to server tensorflow models with tensorflow serving
A tutorial of building tensorflow serving service from scratch
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