ML Wiz's repositories
FinRL-Meta
FinRL-Meta: A Universe for Data-Driven Financial Reinforcement Learning. 🔥
adverse-regime-detection
Adverse regime forecasting using leading macroeconomic indicators and machine learning algorithms, including common regression algorithms and Hidden Markov Models.
awesome-AI-tutorials-surveys
A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
Data-science-best-resources
Carefully curated resource links for data science in one place
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
docker-airflow
Docker Apache Airflow
featurebase
A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Fire up a Docker instance here: https://github.com/FeatureBaseDB/featurebase-examples/tree/main/docker-simple
five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
flyte
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
illustrated-machine-learning.github.io
Website containing illustrations about Machine Learning theory!
kedro
A Python framework for creating reproducible, maintainable and modular data science code.
langchain
⚡ Building applications with LLMs through composability ⚡
leduc-cfr-poker-bot
Implementation of a bot for Leduc poker using Counterfactual Regret Minimization
ludwig
Data-centric declarative deep learning framework
ML-Papers-Explained
Explanation to key concepts in ML
mlops.toys
🎲 A curated list of MLOps projects, tools and resources
openCFR
A Python implementation of Counterfactual Regret Minimization (CFR).
polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Python
All Algorithms implemented in Python
regimeshifts
Python library with functions to compute early warning signals for regime shifts on time-series.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
Timeseries_transformer
Transformers, Graph Neural Networks, PySpark, Neural Cellular Automata, FB Prophet, Google Cloud, NLP codes, Ethical Hacking and C Language
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Trading-strategies-analysis-regret-minimization
Analyse des stratégies de trading algorithmique avec une application de la théorie des jeux