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annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

apnn-tc

asgcn

Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"

batched_gemm

cfntt_ref

cgbn

CGBN: CUDA Accelerated Multiple Precision Arithmetic (Big Num) using Cooperative Groups

chisel-template

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

conv_pool_algorithm

crossner

crossner_old

cubert

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

cublas_gemm_benchmark

cublas gemm benchmark (fp32 fp16 int8 fp16(tensor core) int8(tensor core))

cuda-by-example-source-code-for-the-book-s-examples-

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.

cuda-fft-research

cuda-handbook

pdf

cuda-winograd

Fast CUDA Kernels for ResNet Inference.

cuda_programming

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

cutlass

CUDA Templates for Linear Algebra Subroutines

damo_ctl_cham

decoding-cuda-binary

deeplearning-tutorial

demo-network

AlexNet，GoogleNet，VGG和ResNet网络架构的demo示例

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

download_google_drive

Download files from Google Drive using Python 2 or Python 3

dramsim3

DRAMsim3: a Cycle-accurate, Thermal-Capable DRAM Simulator

draw_io

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

feature_map_dataset

fft

Fast-Fourier Transform in 2D. Examination of Cooley-Tukey Algorithm for 2D FFT, image I/O for FFT, and a shared memory implementation of FFT on the GPU.