Repository Index

Silero Models: pre-trained text-to-speech models made embarrassingly simple

• speech-to-text
• pretrained-models
• pytorch
• colab

Simple tutorials using Google's TensorFlow Framework

Implement a reasoning LLM in PyTorch from scratch, step by step

• ai
• artificial-intelligence
• deep-learning
• large-language-models

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

• neural-network
• machine-learning
• tensorflow
• keras

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

• pytorch
• seq2seq
• sequence-to-sequence
• tutorial

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

• deep-learning
• jax
• speech-recognition
• speech-to-text

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

Debugging, monitoring and visualization for Python Machine Learning and Data Science

• ai
• deep-learning
• deeplearning
• machine-learning

Open-source demos hosted on Dash Gallery

• plotly-dash
• dash
• plotly

Implementing a Neural Network from Scratch

Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.

• business-logic
• code-analysis
• code-understanding
• codebase-analysis

Python implementation of CMA-ES

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

• jupyter
• jupyter-notebook
• python
• plotting

TensorFlow Implementation of "Show, Attend and Tell"

• tensorflow
• image-captioning
• show-attend-and-tell
• attention-mechanism

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

TensorFlow implementation of an arbitrary order Factorization Machine

• factorization-machines
• tensorflow
• research-project

The codes I made while I practiced various TensorFlow examples

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

• feature-selection
• data-science
• python

TranslatedLearning machine learning and quantitative analysis, in progress

Implementation of various topic models

Deep Reinforcement Learning for de-novo Drug Design

• deeplearning
• reinforcement-learning
• cheminformatics
• molecular-modeling

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"