Pinned Repositories
awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
BayesianLearning
Bayesian Machine Learning
BPL
Bayesian Program Learning model for one-shot learning
caffe
Caffe for Structurally Sparse Deep Neural Networks
Caffe_Code_Analysis
Caffe_Code_Analysis
CNN-Accelerator-VLSI
Convolutional accelerator kernel, target ASIC & FPGA
CNN-FPGA
Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database
cnn_hardware_acclerator_for_fpga
This is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Networks on FPGAs
cs231n.github.io
Public facing notes page
DNN_NeuroSim_V2.0
Benchmark framework of compute-in-memory based accelerators for deep neural network
boleejia's Repositories
boleejia/awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
boleejia/BayesianLearning
Bayesian Machine Learning
boleejia/BPL
Bayesian Program Learning model for one-shot learning
boleejia/caffe
Caffe for Structurally Sparse Deep Neural Networks
boleejia/Caffe_Code_Analysis
Caffe_Code_Analysis
boleejia/CNN-Accelerator-VLSI
Convolutional accelerator kernel, target ASIC & FPGA
boleejia/CNN-FPGA
Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database
boleejia/cnn_hardware_acclerator_for_fpga
This is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Networks on FPGAs
boleejia/cs231n.github.io
Public facing notes page
boleejia/DNN_NeuroSim_V2.0
Benchmark framework of compute-in-memory based accelerators for deep neural network
boleejia/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
boleejia/LeetCode
The answer of LeetCode
boleejia/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
boleejia/FPGAandCNN
基于FPGA的数字识别-实时视频处理的定点卷积神经网络实现
boleejia/Hardware_MLP_Verilog_CAD
MLP Hardware Implementation - Computer Aided Design Course - University of Tehran - Dr. Modarresi
boleejia/hdl
HDL libraries and projects
boleejia/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
boleejia/MLP-Verilog
Multi-layered perceptron neural network implemented in verilog.
boleejia/MNIST_CNN_HDL
boleejia/NTHU-ICLAB
清華大學 | 積體電路設計實驗 (IC LAB) | 110上
boleejia/PyDataLondon2017
Bayesian Deep Learning with Edward (and a trick using Dropout)
boleejia/pymc
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
boleejia/python
boleejia/scsynth
Synthesis tool for stochastic computing
boleejia/ST3_with_cpp
This Repo describes the method of compiling and running cpp file in sublime text 3