AliSheheryar

AliSheheryar's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k7.6k40.1k74.4k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k2.7k7.3k45.8k

• CorentinJ/Real-Time-Voice-Cloning

  Clone a voice in 5 seconds to generate arbitrary speech in real-time

  Language:Python53k9421.1k8.8k

• wagoodman/dive

  A tool for exploring each layer in a docker image

  Language:Go48.4k3643351.8k

• firstcontributions/first-contributions

  🚀✨ Help beginners to contribute to open source projects

  45.9k50580980.8k

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.2k2.1k4.8k18.7k

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k1.1k56212.9k

• eriklindernoren/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.

  Language:Python24.1k937734.6k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.1k5092388.5k

• magenta/magenta

  Magenta: Music and Art Generation with Machine Intelligence

  Language:Python19.2k7539613.7k

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12.4k2092.3k2.6k

• lexfridman/mit-deep-learning

  Tutorials, assignments, and competitions for MIT Deep Learning related courses.

  Language:Jupyter Notebook10.2k643112.2k

• freeCodeCamp/how-to-contribute-to-open-source

  A guide to contributing to open source

  Language:Ruby8.8k2162391.8k

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.3k2921003.7k

• qqwweee/keras-yolo3

  A Keras implementation of YOLOv3 (Tensorflow backend)

  Language:Python7.1k1987123.4k

• rafaelpadilla/Object-Detection-Metrics

  Most popular metrics used to evaluate object detection algorithms.

  Language:Python5k701501k

• amanchadha/coursera-deep-learning-specialization

  Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  Language:Jupyter Notebook3.2k30402.3k

• pierluigiferrari/ssd_keras

  A Keras port of Single Shot MultiBox Detector

  Language:Python1.9k53373938

• salu133445/musegan

  An AI for Music Generation

  Language:Python1.9k50129376

• ARM-software/armnn

  Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

  Language:C++1.2k90752316

• panacloud/bootcamp-2020

  Learn to Build Modern Full Stack Serverless Multi-Tenant SaaS Apps and APIs

  4868780180

• DeepTrial/Retina-VesselNet

  A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2

  Language:Jupyter Notebook30784475

• openai/CLIP-featurevis

  code for reproducing some of the diagrams in the paper "Multimodal Neurons in Artificial Neural Networks"

  Language:Python307124474

• ARM-software/ML-zoo

  Language:Python205121553

• Machine-Learning-Tokyo/__init__

  Language:Jupyter Notebook13714112

• EnggQasim/PIAIC_ISLAMABAD_BATCH3

  Language:Jupyter Notebook78380119

• ManishSoni1908/Mobilenet-ssd-keras

  A Keras port of Single Shot MultiBox Detector as Mobilenet as a Backbone

  Language:Python6232124

• adeshpande3/Machine-Learning-Notes

  Notes for several Machine Learning and Deep Learning courses, textbooks, and talks

  585030