Karamya's Stars
guildai/guildai
Experiment tracking, ML developer tools
mindee/doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
minitorch/minitorch
The full minitorch student suite.
jrzaurin/pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
sscardapane/reprodl2021
Host repository for the "Reproducible Deep Learning" PhD course
kentaroy47/Kaggle-PANDA-1st-place-solution
1st place solution for the Kaggle PANDA Challenge
MarcusJones/kaggle_utils
Utilities for ML, AI, and kaggle competitions
holoviz/panel
Panel: The powerful data exploration & web app framework for Python
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.
h19920918/memae
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)
dpressel/dliss-tutorial
Tutorial for International Summer School on Deep Learning, 2019
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
aditya1702/Machine-Learning-and-Data-Science
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
tkwoo/anogan-keras
Unsupervised anomaly detection with generative model, keras implementation
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
minerva-ml/steppy
Lightweight, Python library for fast and reproducible experimentation :microscope:
AI-Guru/ngdlm
Next Generation Deep Learning Models
rasbt/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
dask/dask-examples
Easy-to-run example notebooks for Dask
shinseung428/gan_numpy
ydataai/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
AI-Guru/plague-analyst
greymd/tmux-xpanes
Awesome tmux-based terminal divider
AI-Guru/deep-reinforcement-learning
Deep Reinforcement Learning Demos
aktivkohle/python-talks
Chatbot which talks to the user about available products
aktivkohle/youtube-curation
subtitles and other youtube statistics are collected in a relational database over APIs and NLP methods used to find text similarity to published works. A Flask frontend runs locally, serving a responsive webpage which takes in text, validates it and gives back videos. Deployed via Apache webserver on AWS
IBM/pytorch-seq2seq
An open source framework for seq2seq models in PyTorch.
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
parasdahal/deepnet
Educational deep learning library in plain Numpy.