hsharma35 / Dnnweaver2
Licence: apache-2.0
Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
Stars: ✭ 125
Projects that are alternatives of or similar to Dnnweaver2
Btctrading
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Stars: ✭ 99 (-20.8%)
Mutual labels: jupyter-notebook, deep-neural-networks
Pytorchnlpbook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Stars: ✭ 1,390 (+1012%)
Mutual labels: jupyter-notebook, deep-neural-networks
Deep Image Analogy Pytorch
Visual Attribute Transfer through Deep Image Analogy in PyTorch!
Stars: ✭ 100 (-20%)
Mutual labels: jupyter-notebook, deep-neural-networks
Deep Learning Python
Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
Stars: ✭ 94 (-24.8%)
Mutual labels: jupyter-notebook, deep-neural-networks
Selfdrivingcar
A collection of all projects pertaining to different layers in the SDC software stack
Stars: ✭ 107 (-14.4%)
Mutual labels: jupyter-notebook, deep-neural-networks
Pytorch Learners Tutorial
PyTorch tutorial for learners
Stars: ✭ 97 (-22.4%)
Mutual labels: jupyter-notebook, deep-neural-networks
Swae
Implementation of the Sliced Wasserstein Autoencoders
Stars: ✭ 75 (-40%)
Mutual labels: jupyter-notebook, deep-neural-networks
Tensorflow2.0 Examples
🙄 Difficult algorithm, Simple code.
Stars: ✭ 1,397 (+1017.6%)
Mutual labels: jupyter-notebook, deep-neural-networks
Deep Dream In Pytorch
Pytorch implementation of the DeepDream computer vision algorithm
Stars: ✭ 90 (-28%)
Mutual labels: jupyter-notebook, deep-neural-networks
Ml Fraud Detection
Credit card fraud detection through logistic regression, k-means, and deep learning.
Stars: ✭ 117 (-6.4%)
Mutual labels: jupyter-notebook, deep-neural-networks
Breast Cancer Classification
Breast Cancer Classification using CNN and transfer learning
Stars: ✭ 86 (-31.2%)
Mutual labels: jupyter-notebook, deep-neural-networks
Pp4fpgas Cn Hls
HLS Project of pp4fpgas - https://github.com/xupsh/pp4fpgas-cn
Stars: ✭ 97 (-22.4%)
Mutual labels: jupyter-notebook, fpga
Dareblopy
Data Reading Blocks for Python
Stars: ✭ 82 (-34.4%)
Mutual labels: jupyter-notebook, deep-neural-networks
Mxnet Finetuner
An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.
Stars: ✭ 100 (-20%)
Mutual labels: jupyter-notebook, deep-neural-networks
My Journey In The Data Science World
📢 Ready to learn or review your knowledge!
Stars: ✭ 1,175 (+840%)
Mutual labels: jupyter-notebook, deep-neural-networks
Mit 6.s094
MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
Stars: ✭ 74 (-40.8%)
Mutual labels: jupyter-notebook, deep-neural-networks
Intro To Deep Learning
A collection of materials to help you learn about deep learning
Stars: ✭ 103 (-17.6%)
Mutual labels: jupyter-notebook, deep-neural-networks
Machine Learning Demystified
A weekly workshop series at ITP to teach machine learning with a focus on deep learning
Stars: ✭ 114 (-8.8%)
Mutual labels: jupyter-notebook, deep-neural-networks
DnnWeaver v2.0
DnnWeaver v2.0 is an open-source framework for accelerating Deep Neural Networks (DNNs) on FPGAs.
Citing us
If you use this work, please cite our paper published in The 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2016.
H. Sharma, J. Park, D. Mahajan, E. Amaro, J. K. Kim, C. Shao, A. Mishra, H. Esmaeilzadeh, "From High-Level Deep Neural Models to FPGAs", in the Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2016.
Build Instructions
Python dependencies:
pip install -r requirements.txt
Vivado Tool version:
Vivado 2018.2
Examples
dnnweaver2-tutorial.ipynb provides a tutorial on how to use the tool
Dependencies:
darkflow (https://github.com/thtrieu/darkflow)
OpenCV (cv2)
Here's a sample project that uses DnnWeaver v2.0 to perform real-time image recognition with a drone https://github.com/ardorem/dnnweaver2.drone
License
Copyright 2018 Hadi Esmaeilzadeh
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Maintained By
Hardik Sharma ([email protected])
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].