Rajesh Kumar Pandey's repositories
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Awesome-Computer-Vision-Guide
Computer Vision is one of the hottest topics in artificial intelligence. It is making tremendous advances in self-driving cars, robotics as well as in various photo correction apps. Steady progress in object detection is being made every day.
data_visualization
A collection of my data visualizations, mostly in Python.
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
docker-python
Kaggle Python docker image
docker-rcran
A dockerfile to install all of CRAN
dvc_mlflow
This image recognition project uses industry best practices in machine learning in terms of DVC and MLflow for data versioning, parameter, metric , artifacts and model logging.
Fake-Apache-Log-Generator
Generate a boatload of Fake Apache Log files very quickly
fastformers
FastFormers - highly efficient transformer models for NLU
fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
FLAML
A fast and lightweight AutoML library.
flashlight
A C++ standalone library for machine learning
keytotext
Keywords to Sentences
learntools
Tools and tests used in Kaggle Learn exercises
lightly
A python library for self-supervised learning on images.
LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
lux
Python API for Intelligent Visual Data Discovery
mljar-supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
nbautoexport
Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
PythonSIFT
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
reinforcement_learning
707 Deep Reinforcement Learning coursework @ City, University of London
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
text_classification
all kinds of text classification models and more with deep learning
Voicenet
Comprehensive Python library for speech and voice.
Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer