shua1zhang's Stars
public-apis/public-apis
A collective list of free APIs
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
mli/paper-reading
深度学习经典、新论文逐段精读
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
xmrig/xmrig
RandomX, KawPow, CryptoNight and GhostRider unified CPU/GPU miner and RandomX benchmark
eriklindernoren/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
facebookresearch/DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
apple/tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
YunYang1994/tensorflow-yolov3
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
jiangxufeng/v2rayL
v2ray linux GUI客户端,支持订阅、vemss、ss等协议,自动更新订阅、检查版本更新
ayooshkathuria/YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
mit-han-lab/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
NVIDIA-AI-IOT/deepstream_python_apps
DeepStream SDK Python bindings and sample applications
Xilinx/Vitis-AI
Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.
sfzhang15/RefineDet
Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018
raghakot/keras-resnet
Residual networks implementation using Keras-1.0 functional API
gerard/ext4fuse
EXT4 implementation for FUSE
NVIDIA-AI-IOT/tf_trt_models
TensorFlow models accelerated with NVIDIA TensorRT
Xilinx/Vitis-AI-Tutorials
NVIDIA-AI-IOT/jetson_benchmarks
Jetson Benchmark
Xilinx/DPU-PYNQ
DPU on PYNQ
NVIDIA-AI-IOT/jetson-cloudnative-demo
Multi-container demo for Jetson Xavier NX and Jetson AGX Xavier
splineai-cloud/COVID-XS
CNN based Deep Learning for Detecting COVID-19 from X-Ray images.The Deep Learning is deployed in AWS IoT GreenGrass with Xilinx ZCU104 as Edge Device.
Xilinx/vck190-base-trd
gewuek/vitis_ai_custom_platform_v1.2_tmp
For v1.2 test