Deadpool5549

Deadpool5549's Stars

• ChristosChristofidis/awesome-deep-learning

  A curated list of awesome Deep Learning tutorials, projects and communities.

  23.7k1.2k216k

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.7k4848.3k8k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.6k594294k

• fizyr/keras-retinanet

  Keras implementation of RetinaNet object detection.

  Language:Python4.4k1231.3k2k

• m3y54m/Embedded-Engineering-Roadmap

  A comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources.

  4k11017422

• WongKinYiu/yolor

  implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

  Language:Python2k32276520

• fengbintu/Neural-Networks-on-Silicon

  This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

  1.8k3013381

• zszazi/Deep-learning-in-cloud

  List of Deep Learning Cloud Providers

  760219294

• google-research/circuit_training

  Language:Python7262352140

• xahidbuffon/Awesome_Underwater_Datasets

  Pointers to large-scale underwater datasets and relevant resources.

  545145126

• intel/rohd

  The Rapid Open Hardware Development (ROHD) framework is a framework for describing and verifying hardware in the Dart programming language.

  Language:Dart3711522866

• hpi-xnor/BMXNet

  (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

  Language:C++350335695

• YosysHQ/fpga-toolchain

  Multi-platform nightly builds of open source FPGA tools

  Language:C289125526

• AgaMiko/waste-datasets-review

  List of image datasets with any kind of litter, garbage, waste and trash

  2595237

• tugot17/YOLO-Object-Counting-API

  The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

  Language:Python2097858

• m3y54m/FPGA-ASIC-Roadmap

  A roadmap for those who want to build a career as an FPGA / ASIC Engineer

  1903022

• rafi007akhtar/tcs-digital-prep

  Programs I solved during the two weeks while I was preparing for TCS Digital.

  Language:C++11712139

• prakharg24/yoloret

  Implementation for the paper 'YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs'

  Language:Python914919

• DataXujing/YOLOR-

  :fire::fire::fire: YOLOR 训练自己的数据集，详细教程

  Language:Python45235

• team-approx-bayes/BayesBiNN

  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule

  Language:Jupyter Notebook37725

• PANTHEONtech/lighty-netconf-simulator

  lighty.io NETCONF device simulators and libraries

  Language:Java268917

• sadrasabouri/CORDIC

  Implementation of CORDIC Algorithms Using Verilog

  Language:Verilog17211

• jibsamGarcia/COCO-annotations-darknet-format

  Language:Python5000

• kalai-rajan/100DaysofRTL

  Collection of basic RTL Design and Verification Codes.

  Language:SystemVerilog51

• fyquah/fpgaConvnetMaxeler

  Running streaming-based Convolutional Neural Networks on maxeler DFE devices

  Language:C++4227

• Manoj-97/16bit-RISC-Processor-Design

  The Goal of this project is to design an 16-bit RISC Processor which is capable of handling programs like the Fibonacci number calculator. The Designed processor is then implemented in a Spartan-6 FPGA. The input from the switches (in binary) will be used to find the nth Fibonacci Number, which is displayed in the 7-segments/LED's.

  Language:Verilog31

• Deadpool5549/DeepPlastic

  Detecting and Quantifying Marine Debris using Deep Visual Models.

  Language:Jupyter Notebook1000

• Deadpool5549/yolor

  implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

  Language:Python1000

• RISCV-MYTH-WORKSHOP/aug21-varghese-rahul-1

  riscv_myth_workshop_aug21-varghese-rahul-1 created by GitHub Classroom

  10

• sujiththota3/ML_codebasics

  Simple tasks on Machine Learning algorithms

  1