jackgle

jackgle's Stars

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k2k23514.9k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16k601183k

• colmap/colmap

  COLMAP - Structure-from-Motion and Multi-View Stereo

  Language:C++7.6k1732k1.5k

• mindspore-ai/mindspore

  MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

  Language:C++4.3k148263708

• wvangansbeke/Unsupervised-Classification

  SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

  Language:Python1.4k54127267

• qubvel/classification_models

  Classification models trained on ImageNet. Keras.

  Language:Python1.2k3465307

• llSourcell/How-to-Predict-Stock-Prices-Easily-Demo

  How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

  Language:Jupyter Notebook7696811590

• facebookresearch/kill-the-bits

  Code for: "And the bit goes down: Revisiting the quantization of neural networks"

  Language:Python6362539124

• ivan-vasilev/advanced-deep-learning-with-python

  Advanced Deep Learning with Python

  Language:Jupyter Notebook1098025

• Irtza/Keras_model_compression

  Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

  Language:Jupyter Notebook62605

• chaodengusc/DeWave

  Single-channel blind source separation

  Language:Python4814

• MiviaLab/DENet

  This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance applications'.

  Language:Python41468