Toturials coming with the "data science roadmap" picture.
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The "Python Machine Learning (2nd edition)" book code repository and info resource
Python code for "Probabilistic Machine learning" book by Kevin Murphy
- jupyter-notebooks
- machine-learning
- colab
- pml
TranslatedChinese Python notes
- python
- scipy
- theano
- matplotlib
TranslatedCourse slides and assignments for Hung-yi Lee's (李宏毅) 2021/2022/2023 Spring Machine Learning courses
Material for gpu-mode lectures
TranslatedAI in Practice - practicalAI, Chinese version
- machine-learning
- jupyter-notebook
- pytorch
- google-colab-notebook
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.
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
Taming Transformers for High-Resolution Image Synthesis
An adversarial example library for constructing attacks, building defenses, and benchmarking both
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
TensorFlow documentation
- tensorflow
- tensorflow-tutorials
- tensorflow-examples
- documentation
Code for Tensorflow Machine Learning Cookbook
- tensorflow
- tensorflow-cookbook
- linear-regression
- neural-network
Silero Models: pre-trained text-to-speech models made embarrassingly simple
- speech-to-text
- pretrained-models
- pytorch
- colab
A scikit-learn compatible neural network library that wraps PyTorch
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
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
- chinese
- computer-vision
- multi-modal-learning
- nlp
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
- deep-learning
- deep-neural-networks
- tensorflow
- tensorflow2
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Implement a reasoning LLM in PyTorch from scratch, step by step
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis