The "Python Machine Learning (2nd edition)" book code repository and info resource
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TranslatedQuantitative research - replication of brokerage financial engineering research reports
- quant
- quantitative-finance
- stock-analysis
- trading-algorithms
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
- tensorflow
- tensorflow-examples
- tensorflow-tutorials
- tensorflow-2
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
- finance
- portfolio-optimization
- portfolio-management
- quantitative-finance
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
- time-series-classification
- deep-learning
- fastai
- pytorch
Implement a reasoning LLM in PyTorch from scratch, step by step
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Data Science Using Python
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Reference models and tools for Cloud TPUs.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
- efficientdet
- efficientnet
- pytorch
- object-detection
A computer science textbook
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
The 3rd edition of course.fast.ai
- data-science
- fastai
- deep-learning
- pytorch
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
- machine-learning
- economics
- causal-inference
- causality
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
- bayesian-methods
- deep-learning
- machine-learning
- data-science
Performance analysis of predictive (alpha) stock factors
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
🛠 All-in-one web-based IDE specialized for machine learning and data science.