ashutoshsoni891

ashutoshsoni891's Stars

• keras-team/keras

  Deep Learning for humans

  Language:Python62.1k1.9k12.2k19.5k

• remoteintech/remote-jobs

  A list of semi to fully remote-friendly companies (jobs) in tech.

  Language:JavaScript30k9191783.2k

• encode/django-rest-framework

  Web APIs for Django. 🎸

  Language:Python28.5k6263.9k6.8k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript28.2k3031.2k2.8k

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python24k4182964.4k

• twintproject/twint

  An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

  Language:Python15.8k3291.2k2.7k

• codelucas/newspaper

  newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

  Language:Python14.2k3856752.1k

• NVlabs/stylegan

  StyleGAN - Official TensorFlow Implementation

  Language:Python14.2k45103.2k

• davisking/dlib

  A toolkit for making real world machine learning and data analysis applications in C++

  Language:C++13.6k4792.2k3.4k

• googleapis/google-api-python-client

  🐍 The official Python client library for Google's discovery based APIs.

  Language:Python7.8k2871.1k2.4k

• youtube/api-samples

  Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.

  Language:Java5.5k3763533k

• PINTO0309/PINTO_model_zoo

  A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

  Language:Python3.6k116340574

• justmarkham/scikit-learn-tips

  :robot::zap: 50 scikit-learn tips

  Language:Jupyter Notebook1.7k1183433

• kenshohara/video-classification-3d-cnn-pytorch

  Video classification tools using 3D ResNet

  Language:Python1.1k1963260

• neo4j-contrib/neomodel

  An Object Graph Mapper (OGM) for the Neo4j graph database.

  Language:Python96751481232

• facebookresearch/d2go

  D2Go is a toolkit for efficient deep learning

  Language:Python84249146202

• TomDoesTech/REST-API-Tutorial-Updated

  Language:TypeScript576128283

• itspoma/audio-fingerprint-identifying-python

  The Shazam-similar app, that identify the song using audio fingerprints & spectrum analysis and Fast Fourier transform

  Language:Python3621325166

• kcct-fujimotolab/3DCNN

  3D convolutional neural network for video classification

  Language:Python2701623105

• cedricoeldorf/ConditionalStyleGAN

  Conditional implementation for NVIDIA's StyleGAN architecture

  Language:Python22671447

• ahmedfgad/NumPyANN

  Implementation of Artificial Neural Networks using NumPy

  Language:Python9812952

• Chinmay26/Near-Duplicate-Video-Detection

  Detecting near-duplicate videos by aggregating features from intermediate CNN layers

  Language:Jupyter Notebook957618

• dnstanciu/drf-angular-docker-tutorial

  Dockerized Django Back-end API using DRF with Angular Front-end Tutorial

  Language:TypeScript583231

• vra/action-recognition-using-3d-resnet

  Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.

  Language:Python393712

• utkd/gans

  Various GANs for playing around

  Language:Jupyter Notebook353523

• podgorskiy/StyleGANCpp

  Unofficial implementation of StyleGAN's generator

  Language:C++33626

• manicman1999/Matchue-StyleGAN

  StyleGAN from Matchue's Tutorial

  Language:Jupyter Notebook14437

• butterflo/ravif

  video fingerprinter

  Language:Python9002

• tienduccao/spacy-pretrain-polyaxon

  Experiment with pre-training spaCy

  Language:Python7201

• simonefrancia/Deep-Learning-in-Production

  In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

  4102