leejaymin

TensorFlowLecture

To make those tutorials, I referred to several tutorials including open courses, YouTube, and Books.

llvm8-tutorials-jemin

llvm8-tutorials-jemin

machine_learning_coursera_python_octave

Octave programming

Android_Tutorial_Projects

Android_Tutorial_Projects

Cracking_Code_Interview

Cracking_Code_Interview

Neural-Network-Acceleration-2

Neural Network Acceleration using CPU/GPU, ASIC, FPGA

reinforcement_learning_tutorials

reinforcement_learning_tutorials

2022-Study

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

awesome-processing-in-memory-PIM-

awesome-processing-in-memory (PIM)

awesome-tensor-compilers

A list of awesome compiler projects and papers for tensor computation and deep learning.

cgo-artifact-2020

Artifact repository for paper Automatic Generation of High-Performance Quantized Machine Learning Kernels

CtCI-6th-Edition

Cracking the Coding Interview 6th Ed. Solutions

cvpr-latex-template

Extended LaTeX template for CVPR/ICCV papers

glow

Compiler for Neural Network hardware accelerators

jemin-academic

jm-web

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

jmblog

leejaymin.github.io

jemin.github.io

mix_debug

mix_debug

Model-Zoo-for-NEST-C

Model-Zoo-for-NEST-C

models

A collection of pre-trained, state-of-the-art models in the ONNX format

nCollector

nCollector

onnx

Open standard for machine learning interoperability

onnx2darknet

qaunt_xgboost

Sparsebit

A model compression and acceleration toolbox based on pytorch.

Tensorflow-101

TensorFlow Tutorials

TrackTrackTrack

Wrokout app

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators