dazialem's Stars
openai/openai-cookbook
Examples and guides for using the OpenAI API
aiwaves-cn/agents
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
pydantic/pydantic
Data validation using Python type hints
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
HULLZHU/stanford-cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
HULLZHU/Finance
exaloop/codon
A high-performance, zero-overhead, extensible Python compiler using LLVM
jaymody/picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy.
ann-afame/DEVOPS-WORLD
chriskhanhtran/portfolio-tutorial
QuantEcon/QuantEcon.py
A community based Python library for quantitative economics
lballabio/QuantLib
The QuantLib C++ library
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.
cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
goldmansachs/gs-quant
Python toolkit for quantitative finance
google/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
graviraja/MLOps-Basics
MichaelCade/90DaysOfDevOps
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
GoogleCloudPlatform/vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
voila-dashboards/voila
Voilà turns Jupyter notebooks into standalone web applications
btholt/complete-intro-to-react-v8
The Complete Intro to React, as taught by Brian Holt on Frontend Masters
mhsmathew/Stock-Market-Analysis
Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers to predict future short term stock trends.
pkouassi/CQF
The CQF program
yhilpisch/eikondataapi
jpmorganchase/python-training
Python training for business analysts and traders
aws-samples/aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
asavine/CompFinance
Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)
differential-machine-learning/notebooks
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.