12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
Repository Index
47,133 repositories indexed
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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
A High-Quality Real Time Upscaler for Anime Video
- anime
- upscaling
- upsampling
- video-processing
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
The "Python Machine Learning (1st edition)" book code repository and info resource
- machine-learning
- machine-learning-algorithms
- logistic-regression
- data-science
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
- interview-questions
- dsa
- dbms
- sql
PRML algorithms implemented in Python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
- inpainting
- inpainting-methods
- inpainting-algorithm
- computer-vision
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Performance analysis of predictive (alpha) stock factors
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
Neural question generation using transformers
Use evolutionary algorithms instead of gridsearch in scikit-learn
Environment for reinforcement-learning algorithmic trading models
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)