damonclifford's Stars
iperov/DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
pytorch/tutorials
PyTorch tutorials.
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
quantopian/pyfolio
Portfolio and risk analytics in Python
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
rasbt/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
joshnewlan/say_what
Using speech-to-text to fully check out during con calls
firmai/machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
blampe/IbPy
Python API for the Interactive Brokers on-line trading system.
rdpeng/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
araffin/rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
firmai/business-machine-learning
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
wyounas/homer
Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.
Azure/Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
rasbt/stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
rasbt/stat479-machine-learning-fs18
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
danaugrs/huskarl
Deep Reinforcement Learning Framework + Algorithms
thomasdavis/blockbid-ccxt-tutorials
Helping our users understand how to trade programatically.
ContinualAI/colab
Continual Learning tutorials and demo running on Google Colaboratory.
firmai/interactive-corporate-report
ICR - Automated and Intelligent Company Report Built in Python (by @firmai)
nayash/Stock-Price-Prediction
Predicting stock price using historical data of a company, using Neural networks (LSTM).
DanielHartUK/Dot-Matrix-Typeface
A simple Dot Matrix style typeface
huseinzol05/Machine-Learning-Numpy
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!