good-repos's repositories
or-tools
Google's Operations Research tools:
learn-anything
Organize world's knowledge, explore connections and curate learning paths
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
jMetalPy
A framework for single/multi-objective optimization with metaheuristics
NSGA-II
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.
pagmo2
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
mongodb-quickstart-course
Course demos and handout material for Talk Python's MongoDB Quickstart course
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Python
All Algorithms implemented in Python
tianshou
An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.
Messenger
Messenger Database Design Concept
pytorch-gans
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN, cGAN, DCGAN, etc.
NiaPy
Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/
trax
Trax — Deep Learning with Clear Code and Speed
100-nlp-papers
100 Must-Read NLP Papers
solid
Solid - Re-decentralizing the web (project directory)
curated-lists
Curated lists on various topics
tfvaegan
Official repository with Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification" (ECCV 2020)
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
awesome_time_series_in_python
This curated list contains python packages for time series analysis
CEC2013
2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization
python-patterns
A collection of design patterns/idioms in Python
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
Hands-On-Deep-Learning-for-Finance
Hands-on Deep Learning for Finance published by Packt.
100-Days-Of-ML-Code
100 Days of ML Coding
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
vision
Datasets, Transforms and Models specific to Computer Vision