prateekguptaiiitk

prateekguptaiiitk's Stars

• keras-team/keras

  Deep Learning for humans

  Language:Python62.3k1.9k12.3k19.5k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k1.2k736k

• kilimchoi/engineering-blogs

  A curated list of engineering blogs

  Language:Ruby32k1k951.7k

• 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:Python24.1k940734.6k

• rasbt/python-machine-learning-book

  The "Python Machine Learning (1st edition)" book code repository and info resource

  Language:Jupyter Notebook12.3k796564.4k

• Kaggle/kaggle-api

  Official Kaggle API

  Language:Python6.4k2014931.1k

• thunlp/PLMpapers

  Must-read Papers on pre-trained language models.

  3.3k14812436

• susanli2016/NLP-with-Python

  Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

  Language:Jupyter Notebook2.8k161342k

• matchai/awesome-pinned-gists

  📌✨ A collection of awesome dynamic pinned gists for GitHub

  2k16890

• aburkov/theMLbook

  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

  Language:Python1.8k1236562

• mpatacchiola/deepgaze

  Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

  Language:Python1.8k9986476

• Niraj-Lunavat/Artificial-Intelligence

  Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

  1.7k1278518

• neomatrix369/awesome-ai-ml-dl

  Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

  Language:Jupyter Notebook1.5k8312359

• 8080labs/pyforest

  pyforest - feel the bliss of automated imports

  Language:Python1.1k3827196

• Cartucho/OpenLabeling

  Label images and video for Computer Vision applications

  Language:Python9343243265

• ypeleg/HungaBunga

  HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

  Language:Python711231479

• black-shadows/Cracking-the-Coding-Interview

  Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.

  Language:C++62571223

• TannerGilbert/Tutorials

  Code for some of my articles

  Language:Jupyter Notebook5603836629

• sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python

  Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

  Language:Jupyter Notebook339211184

• sugarlabs/GSoC

  A guide for participating in Google Summer of Code with Sugar Labs

  Language:Shell3194039148

• taglia3/CircularSlider

  A powerful Circular Slider. It's written in Swift, it's 100% IBDesignable and all parameters are IBInspectable.

  Language:Swift25581342

• udacity/NLP-Exercises

  Language:Jupyter Notebook199180340

• black-shadows/Cheat-Sheets

  A cheat sheet can be really helpful when you're trying a set of exercises related to a specific topic, or working on a project. Because you can only fit so much information on a single sheet of paper, most cheat sheets are a simple listing of syntax rules. This set of cheat sheets aims to remind you of syntax rules, but also remind you of important concepts as well.

  Language:Jupyter Notebook16160116

• PacktPublishing/Mastering-Natural-Language-Processing-with-Python

  Mastering Natural Language Processing with Python

  Language:Python140141113

• Apress/deep-learning-for-natural-language-processing

  Source Code for 'Deep Learning for Natural Language Processing' by Palash Goyal, Sumit Pandey and Karan Jain

  Language:Jupyter Notebook5711147

• Garima13a/Automatic-Image-Captioning

  In this project, I have created a neural network architecture to automatically generate captions from images. After using the Microsoft Common Objects in COntext (MS COCO) dataset to train my network, I have tested my network on novel images!

  Language:Jupyter Notebook405111

• Girrajjangid/Machine-Learning-from-Scratch

  🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

  Language:Jupyter Notebook39228

• vipul0805/Machine-Learning-Study-Material

  Some very good resources to start from and dive into the depth of ML/DL

  5102

• parshakova/neural_opinion_generator

  Language:Python2100

• mraduldubey/MLAlgorithms

  Minimal and clean examples of machine learning algorithms

  Language:Python1101