Pinned Repositories
qt210_android_top
the awesome dev-board with s5pv210 cpu--android
qt210_android_vendor
the awesome dev-board with s5pv210 cpu--android
qt210_ics_device_samsung_smdkv210
the awesome qt210 dev-board--samsung s5pv210 based
qt210_ics_device_ti_panda
the awesome qt210 dev-board--samsung s5pv210 based
qt210_ics_external_chromium
the awesome qt210 dev-board--samsung s5pv210 based
qt210_ics_external_freetype
the awesome qt210 dev-board--samsung s5pv210 based
qt210_ics_external_valgrind
the awesome qt210 dev-board--samsung s5pv210 based
qt210_ics_kernel3.0.8
the awesome qt210 dev-board--samsung s5pv210 based
qt210_ics_packages_apps_Browser
the awesome qt210 dev-board--samsung s5pv210 based
qt210_ics_uboot
the awesome qt210 dev-board--samsung s5pv210 based
jackyh's Repositories
jackyh/autotvm_tutorial
autoTVM神经网络推理代码优化搜索演示,基于tvm编译开源模型centerface,并使用autoTVM搜索最优推理代码, 最终部署编译为c++代码,演示平台是cuda,可以是其他平台,例如树莓派,安卓手机,苹果手机.Thi is a demonstration of how to use autoTVM to search and optimize a neural network inference code. the main process of this program is , firstly use tvm to compile opensource model centerface , then use autotvm to auto search the best inference code for the compiled model
jackyh/bert
TensorFlow code and pre-trained models for BERT
jackyh/CUDA-Programming
Sample codes for my CUDA programming book
jackyh/deeplearning4j
Model import deployment framework for retraining models (pytorch, tensorflow,keras) deploying in JVM Micro service environments, mobile devices, iot, and Apache Spark
jackyh/DeepLearningExamples
Deep Learning Examples
jackyh/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
jackyh/dingdong-grabber
叮咚多策略抢菜/买菜,亲测有效
jackyh/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
jackyh/espresso
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
jackyh/GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
jackyh/gpushare-device-plugin
GPU Sharing Device Plugin for Kubernetes Cluster
jackyh/gpushare-scheduler-extender
GPU Sharing Scheduler for Kubernetes Cluster
jackyh/ingress-nginx
NGINX Ingress Controller for Kubernetes
jackyh/javacpp-presets
The missing Java distribution of native C++ libraries
jackyh/kubesphere
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
jackyh/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
jackyh/moby
Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
jackyh/neo-ai-dlr
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
jackyh/nvbench
CUDA Kernel Benchmarking Library
jackyh/python_backend
Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.
jackyh/rapidjson
A fast JSON parser/generator for C++ with both SAX/DOM style API
jackyh/server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
jackyh/serverless-k8s-examples
Examples for Serverless Kubernetes on Alibaba Cloud - https://yq.aliyun.com/articles/591115
jackyh/simulate_sycamore
Simulating Sycamore quantum circuits classically using tensor network algorithm.
jackyh/solve_sycamore
Reproduce the random circuit sampling experiments of Sycamore quantum circuit
jackyh/spark-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
jackyh/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
jackyh/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
jackyh/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
jackyh/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs