@nkish's repositories
ml-toolbox
This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.
ml-projects
This repo contains various Data Science projects involving image, text, tabular and graph dataset with classical ML as well as Deep Learning.
Algorithm-DS-Problems
This repo contains solutions for problems on Data Structure and Algorithms, from InterviewBit, LeetCode and HackerRank. Some problems are categorized topicwise as dp, graph, greedy, array, etc and others are in a random order. The complete list of problems and their source can be find in all_program_list file.
DeepLearningImplementations
Implementation of recent Deep Learning papers
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.
MLProjects
A list of Machine Learning Learning based on classical ML and deep learning models.
ankishb.github.io
Blogs on random topics in deep learning, data science, machine learning, data structure and algorithms.
fun-projects
python-fun-short-project
CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.
DetectGPT
Pytorch implementation of DetectGPT (https://arxiv.org/pdf/2301.11305v1.pdf)
flask-application
Web Application demo using flask
keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
keras-transformer
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
knowledge-distillation
A teacher-student appproach in the supervised and unsupervised dataset framework.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
Recommender-System
This is highly involved project on recommendation system with classical and advance method.
scikit-learn
scikit-learn: machine learning in Python
self-supervised-speech-recognition
speech to text with self-supervised learning based on wav2vec 2.0 framework
thesis-latex-iitk-format
Thesis format in latex of IITK