bhavesh2g Goto Github PK

hadoopwordcount-in-c

handong1587.github.io

hands-on-transfer-learning-with-python

Hands On Transfer Learning with Python, published by Packt

heterosim

HeteroSim is a full system simulator supporting x86 multicore processors combined with a FPGA via bus-based architecture. Flexible design space exploration is enabled by a wide range of system configurations. A complete simulation flow with compiler support is provided so that a full system simulation can be performed with various performance metrics returned.

horovod

Distributed training framework for TensorFlow.

hyperparameters

Automatically tuning hyperparameters for deep learning

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

kapsul-agi-capsule-network

Prof. Geoffrey Hinton’ın “Dynamic Routing Between Capsules” makalesindeki Kapsül Ağı (Capsule Network: CapsNet) algoritmasının Keras Uygulamasıdır.

kdtf

Knowledge Distillation using Tensorflow

knowledge-distillation

Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN

knowledge_distillation_caffe

KnowledgeDistillation Layer (Caffe implementation)

machine-learning-links-and-lessons-learned

List of all the lessons learned, best practices, and links from my time studying machine learning

mean-teacher

A state-of-the-art semi-supervised method for image recognition

ml-india

Website for Machine Learning India (ml-india). Fostering machine learning and data science ecosystem in India.

mlops-specialization-notes

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

mobile-id

Deep Face Model Compression

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

model_compression

Implementation of model compression with knowledge distilling method.

models

Models built with TensorFlow

mrsim

Automatically exported from code.google.com/p/mrsim

nccl

Optimized primitives for collective multi-GPU communication

netscope

Neural network visualizer

paas_v1.0

PAAS: A System Level Simulator for Heterogeneous Computing Systems

papers

:paperclip: Summaries of papers on deep learning

papers-1

summary of ML papers I've read

papers-2

Summaries of machine learning papers

pynq

Python Productivity for ZYNQ

quantized_distillation

Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

scilab-test