ha-san-ali's Stars
richiec/BuddyPairer
A simple Python script to create random pairings between elements in a list
UKHSA-Internal/coronavirus-dashboard
Dashboard for tracking Coronavirus (COVID-19) across the UK
rdkit/rdkit
The official sources for the RDKit library
chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
Evaluation-Team/cms
cms
Evaluation-Team/evaluate-digital-health
hammadshaikhha/Educational-Web-Applications
Interactive web applications designed to teach concepts in statistics and engage students in the course material.
P1xt/p1xt-guides
Programming curricula
Hack-with-Github/Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
wladiarce/logistic_regression_numpy
A logistic regressor class written in python, with the testing code against an example dataset.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
jtleek/dataanalysis
The lecture slides for Coursera's Data Analysis class
seeingtheory/Seeing-Theory
A visual introduction to probability and statistics.
JiahuiYu/generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
llSourcell/Progressive_GANs
This is the code for "Generative Artificial Intelligence" By Siraj Raval on Youtube
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
jupyterlab/jupyterlab
JupyterLab computational environment.
hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
kelseyhightower/nocode
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
toronto-ai/noise-circle-dataset
The synthetic Noise-Circle Dataset for image inference benchmarking
mwermelinger/Learn-to-code-for-data-analysis
Jupyter notebooks and datasets for this course
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
PaddlePaddle/Paddle-Lite
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
mozilla/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.