MathinAzad's Stars
google-research/google-research
Google Research
Manisso/fsociety
fsociety Hacking Tools Pack – A Penetration Testing Framework
OpenMined/PySyft
Perform data science on data that remains in someone else's server
sktime/sktime
A unified framework for machine learning with time series
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
vi3k6i5/flashtext
Extract Keywords from sentence or Replace keywords in sentences.
shreyashankar/gpt3-sandbox
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
agermanidis/livepython
Visually trace Python code in real-time.
scrtlabs/catalyst
An Algorithmic Trading Library for Crypto-Assets in Python
anfederico/clairvoyant
Software designed to identify and monitor social/historical cues for short term stock movement
google/tangent
Source-to-Source Debuggable Derivatives in Pure Python
modAL-python/modAL
A modular active learning framework for Python
AminHP/gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
ahmedfgad/GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
bioinf-jku/SNNs
Tutorials and implementations for "Self-normalizing networks"
google-research/tapas
End-to-end neural table-text understanding models.
google/qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
fzenke/spytorch
Tutorial for surrogate gradient learning in spiking neural networks
ijmbarr/turing-patterns
Exploring the patterns created by reaction-diffusion equations
deep-learning-indaba/indaba-pracs-2019
maka89/Deep-Kernel-GP
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
kartik4949/TensorPipe
High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
georgezoto/TensorFlow-in-Practice
TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf
google-research/evoflow
dennisnderitu254/Automate-the-boring-stuff-in-Python
Automate the boring stuff in python
TUIlmenauAMS/AdaptivePrePostFilters
Adaptive Pre and Post Filters based on Perceptual Audio Coding Using Adaptive Preand Post-Filters and Lossless Compression by G. Schuller
GuitarsAI/ApaptiveFiltersPerceptualAudio
Adaptive Pre and Post Filters based on Perceptual Audio Coding Using Adaptive Pre- and Post-Filters and Lossless Compression by G. Schuller
rajatvd/EE5120_Video
Code for Video Project of EE5120 Applied Linear Algebra (Jul-Nov 2018)
wisamreid/Perceptual-Audio-Codec