rohitkeshari Goto Github PK

ml-cheatsheet

Machine learning cheatsheet

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-systems

papers on scalable and efficient machine learning systems

mlcourse_open

OpenDataScience Machine Learning course. Both in English and Russian

mnist-center-loss

Center loss implementation in Keras

mnist_center_loss_pytorch

A Pytorch implementation of center loss on MNIST

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

nn-transfer

Convert trained PyTorch models to Keras, and the other way around

notes

npair_loss_pytorch

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

obstructionremoval

[CVPR 2020] Learning to See Through Obstructions

openvino-yolov4

This is implementation of YOLOV4,YOLOV4-relu,YOLOV4-tiny in OpenVINO2020R4 .

pandas-bokeh

Bokeh Plotting Backend for Pandas and GeoPandas

paper-collection

A track of papers I read and papers I collect to read in future

paper-notes

Random notes on papers, likely a short-term repo.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

programming_practice

pyscatwave

Fast Scattering Transform with CuPy/PyTorch

pysift

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cam

Class Activation Mapping written in PyTorch.

pytorch-center-loss

Pytorch implementation of Center Loss

pytorch-classification

Classification with PyTorch.

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

pytorch-tutorial

Build your neural network easy and fast

pytorch-tutorial-on-google-colab

PyTorch Tutorial on google colaboratory.