Harshit Singh's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
advanced-css-course
Starter files, final projects and FAQ for my Advanced CSS course
Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc
coding-problems
Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures
keras-attention
Keras Attention Layer (Luong and Bahdanau scores).
ml-study-plan
The Ultimate FREE Machine Learning Study Plan
scikit-learn-tips
:robot::zap: 50 scikit-learn tips
statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
fuck-coding-interviews
How on earth can I ever think of a solution like that in an interview?!
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
sudoku-solver
GUI Sudoku Solver using Pygame
Lipreading-DenseNet3D
DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990
HackerRank-Solutions-in-Python
Some of the solutions to the python problems in Hackerrank are given below.
Competitive-Coding-Platforms
GeeksForGeeks, HackerEarth, Coding Tests and Several Other platforms - Data Structures, Algorithms, SQL, Programming
Interview-Questions
📚 Data Structure and Algorithm solutions of my youtube videos
100DaysofML
This Repository provides resources for the 100 Days of ML initiative.
100-Days-of-ML
Curriculum to grasp the basics of ML in 100 Days
3rdSem-Data-Structures-Lab
My implementation of standard data structures and algorithms
Data-Science-Portfolio
Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks, and Python files in corresponding modules .
Coursera---Natural-Language-Processing-Specialization-by-deeplearning.ai
#Assignment Answers #About this Specialization: Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.
GeeksForGeeks
This repository is gonna contain must do interview questions from GeeksForGeeks
SDE-practice
Software Development practice codes using C++
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning