A scikit-learn compatible neural network library that wraps PyTorch
Repository Index
47,133 repositories indexed
73–96 of 198 · Most stars
From the basics to slightly more interesting applications of Tensorflow
Create delightful software with Jupyter Notebooks
- jupyter-notebooks
- python
- literate-programming
- fastai
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Performance analysis of predictive (alpha) stock factors
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
Lectures on scientific computing with python, as IPython notebooks.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
- mimic-iii
- critical-care
- icu
- physionet
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Python Productivity for ZYNQ
- pynq
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
Implementing a Neural Network from Scratch
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
Koç University deep learning framework.
- knet
- deep-learning
- julia
- machine-learning
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.