Black Jack's repositories
python-parallel-programming-cookbook-cn
📖《Python Parallel Programming Cookbook》中文版
horovod
Distributed training framework for TensorFlow, Keras, and PyTorch.
Mosaic
Source code of the simulator used in the Mosaic paper from MICRO 2017: "Mosaic: A GPU Memory Manager with Application-Transparent Support for Multiple Page Sizes" https://people.inf.ethz.ch/omutlu/pub/mosaic-application-transparent-multiple-page-sizes-for-GPUs_micro17.pdf
PSMNet
Pyramid Stereo Matching Network (CVPR2018)
kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
DeepLearningNotes
机器学习和量化分析学习进行中
dash
Interactive, Reactive Web Apps for Python. Dash Is Productive™
freqtrade
Simple High Frequency Trading Bot for crypto currencies
Raspberry-Pi
Raspberry Pi A to Z List
seq2seq
Sequence to Sequence Learning with Keras
SGM-Census
Semiglobal Matching with Census Matching Cost
crl
Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"
GPGPU-Ramulator-Simulator
Replace original DRAM model in GPGPU-sim with Ramulator DRAM model
stereo_dense_reconstruction
Dense 3D reconstruction from stereo (using LIBELAS)
heft
A static scheduling heuristic
gpumembench
A GPU benchmark suite for assessing on-chip GPU memory bandwidth
vnpy
基于python的开源量化交易平台开发框架
cpp-ethereum
Ethereum C++ client
pytorch-language-model
Simple LSTM-based word-level language model in PyTorch
mixbench
A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP)
ethminer
Ethereum miner with CUDA and stratum support
dispflownet-tf
Tensorflow implementation of https://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16
cublasHgemm-P100
Code for testing the native float16 matrix multiplication performance on Tesla P100 GPU based on cublasHgemm
rapidjson
A fast JSON parser/generator for C++ with both SAX/DOM style API
CudaPAD
CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of the assembly.
gpgpu-sim_distribution
GPGPU-Sim provides a detailed simulation model of a contemporary GPU (such as NVIDIA's Fermi and GT200 architectures) running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.