CJYLab

Tokyo University of Agriculture and Technology (TUAT)Koganei, Tokyo

Pinned Repositories

adventures_in_opencl
A tutorial series for learning OpenCL
Language:C++0 1 00
APoT_Quantization
PyTorch implementation for the APoT quantization (ICLR 2020)
Language:Python0 1 00
BinaryNet
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Language:Python0 1 00
caffe
Caffe: a fast open framework for deep learning.
Language:C++0 1 00
chainer
A flexible framework of neural networks for deep learning
Language:Python0 2 00
chainer-libDNN
Utilities for deep neural network in chainer
Language:Python0 1 00
chainerui
ChainerUI: User Interface for Chainer
Language:Python0 1 00
chisel-tutorial
chisel tutorial exercises and answers
Language:Scala0 1 00
micropython
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
Language:C1 2 00
training
Exercise of Structure and Interpretation of Computer Programs
Language:C1 1 02

CJYLab's Repositories

CJYLab/APoT_Quantization
PyTorch implementation for the APoT quantization (ICLR 2020)
Language:Python0 1 00
CJYLab/chisel-tutorial
chisel tutorial exercises and answers
Language:Scala0 1 00
CJYLab/cTensor
A super light-weight deep learning library based on NumPy in PyTorch fashion.
Language:Python1 0
CJYLab/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Language:TeX1 0
CJYLab/DeepShift
Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
Language:Python1 0
CJYLab/dkr-intel
Docker image with Intel Parallel Studio XE Composer Edition for C++
Language:Dockerfile1 0
CJYLab/dni-pytorch
Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
Language:Python1 0
CJYLab/docker_practice
Learn and understand Docker technologies, with real DevOps practice!
Language:Go1 0
CJYLab/eyeriss-chisel3
eyeriss-chisel3
Language:Scala1 0
CJYLab/fastai
The fastai deep learning library, plus lessons and and tutorials
Language:Jupyter Notebook1 0
CJYLab/High-Level-Synthesis-Flow-on-Zynq-using-Vivado-HLS
This course provides professors with an understanding of high-level synthesis design methodologies necessary to develop digital systems using Vivado HLS. Now under 2018.2 version.
Language:HTML1 0
CJYLab/local-loss
PyTorch code for training neural networks without global back-propagation
Language:Python1 0
CJYLab/luago-book
《自己动手实现Lua》源代码
Language:Go1 0
CJYLab/mace
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
Language:C++
CJYLab/moderncv
A modern curriculum vitae class for LaTeX
Language:TeX1 0
CJYLab/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Language:Jupyter Notebook1 0
CJYLab/plaidml
PlaidML is a framework for making deep learning work everywhere.
Language:C++1 0
CJYLab/pp4fpgas-cn
中文版 Parallel Programming for FPGAs
Language:CSS1 0
CJYLab/py-videocore
Python library for GPGPU on Raspberry Pi
Language:Python0 0
CJYLab/Pynq-CV-OV5640
Pynq computer vision examples with an OV5640 camera
Language:VHDL1 0
CJYLab/pyopencl
OpenCL integration for Python, plus shiny features
Language:Python1 0
CJYLab/pyopencl-in-action
A work in progress to implement the code from OpenCL in Action by Matthew Scarpino in pyopencl
Language:Python1 0
CJYLab/python3-cookbook
《Python Cookbook》 3rd Edition Translation
Language:Python1 0
CJYLab/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Language:Python1 0
CJYLab/rnn_lstm_from_scratch
How to build a RNN and LSTM from scratch with NumPy.
Language:Jupyter Notebook1 0
CJYLab/ShiftAddNet
[NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
Language:Python1 0
CJYLab/SimpleNet-Keras
SimpleNet paper implementation in keras
Language:Jupyter Notebook1 0
CJYLab/spooNN
FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
Language:Jupyter Notebook1 0
CJYLab/T
testing
1 0
CJYLab/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
Language:Python1 0