Code for Tensorflow Machine Learning Cookbook
- tensorflow
- tensorflow-cookbook
- linear-regression
- neural-network
Repository Index
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Silero Models: pre-trained text-to-speech models made embarrassingly simple
- speech-to-text
- pretrained-models
- pytorch
- colab
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
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Jupyter notebooks for the Natural Language Processing with Transformers book
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
- dsp
- python
- signal-processing
- textbook
Data augmentation for NLP
- nlp
- augmentation
- machine-learning
- artificial-intelligence
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Python code for common Machine Learning Algorithms
- linear-regression
- polynomial-regression
- logistic-regression
- decision-trees
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
- automl
- hyperparam
- automated-machine-learning
- machine-learning
Plain python implementations of basic machine learning algorithms
- machine-learning
- logistic-regression
- ipynb
- machine-learning-algorithms
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
- machine-learning
- pattern-classification
- machine-learning-algorithms
Build a modern LLM from scratch. Every line commented. Explained like we are five.
- attention-mechanism
- deep-learning
- educational
- from-scratch
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
- 3d
- computer-vision
- dynamic-scene
- gaussian-splatting
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
- machine-learning
- multivariate-statistics
- pca
- regression
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
- python
- machine-learning
- deep-learning
- pytorch
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
- cnn
- rnn
- detection
- classification
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
- deep-learning
- tensorflow-examples
- convolutional-neural-networks
- recurrent-neural-networks
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
Learn how to design, develop, deploy and iterate on production-grade ML applications.