iso-p's Stars
brais-martinez/real2binary
Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions
larq/zoo
Reference implementations of popular Binarized Neural Networks
SocialSisterYi/bilibili-API-collect
哔哩哔哩-API收集整理【不断更新中....】
dataabc/weibo-crawler
新浪微博爬虫,用python爬取新浪微博数据,并下载微博图片和微博视频
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
tusenpo/FlappyFrog
Excited!
Eldave93/Seizure-Detection-Tutorials
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
liuzechun/ReActNet
ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
abhisheknaiidu/awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile which updates in real time
onnx/tutorials
Tutorials for creating and using ONNX models
inducer/pycuda
CUDA integration for Python, plus shiny features
xuqiantong/CUDA-Winograd
Fast CUDA Kernels for ResNet Inference.
akrizhevsky/cuda-convnet2
Automatically exported from code.google.com/p/cuda-convnet2
udacity/cs344
Introduction to Parallel Programming class code
ibebrett/CUDA-CS344
My solutions to Udacity's Parallel Programming course (CS 344)
depctg/udacity-cs344-colab
Google Colab Notebooks for Udacity CS344 - Intro to Parallel Programming
rapidsai/cugraph
cuGraph - RAPIDS Graph Analytics Library
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
horizon-research/PointCloud-pipeline
Configurable point cloud registration pipeline.
riscvarchive/riscv-cores-list
RISC-V Cores, SoC platforms and SoCs
lucidrains/mixture-of-experts
A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models
yukimasano/self-label
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Confusezius/Revisiting_Deep_Metric_Learning_PyTorch
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
zhoushengisnoob/DeepClustering
Methods and Implements of Deep Clustering
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
SwarmArch/T4
Code released to accompany the ISCA paper: "T4: Compiling Sequential Code for Effective Speculative Parallelization in Hardware"
Rachnog/Neural-ODE-Experiments
This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
ymherklotz/verismith
Verilog Fuzzer to test the major simulators and sythesisers by generating random, valid Verilog.