Repository Index

LLM training in simple, raw C/CUDA

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages

• asr
• onnx
• windows
• linux

A hyperparameter optimization framework

• python
• machine-learning
• parallel
• distributed

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

• api
• llm
• api-documentation
• chatgpt

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

• machine-learning
• experiment-track
• deep-learning
• keras

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Fast and Accurate ML in 3 Lines of Code

• automl
• machine-learning
• data-science
• deep-learning

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

Automated Machine Learning with scikit-learn

• automl
• scikit-learn
• automated-machine-learning
• hyperparameter-optimization

Distributed Asynchronous Hyperparameter Optimization in Python

• hacktoberfest

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

• tensorflow
• deep-learning
• reinforcement-learning
• neural-networks

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

AI Infra / AI Orchestration / AI Control Plane

• deep-learning
• machine-learning
• artificial-intelligence
• data-science

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

• deep-learning
• machine-learning
• ml-platform
• ml-infrastructure

Automatic architecture search and hyperparameter optimization for PyTorch

• automl
• deep-learning
• tabular-data
• pytorch

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

• hyperopt
• keras
• hyperparameter-optimization

Machine Learning in R

• machine-learning
• data-science
• tuning
• cran

Hyperparameter Experiments with TensorFlow and Keras

• deep-learning
• keras
• keras-tensorflow
• hyperparameter-optimization

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

• bayesian-optimization
• bayesian-optimisation
• hyperparameter-optimization
• hyperparameter-tuning

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

• pipeline
• pipeline-framework
• machine-learning
• deep-learning