Python bindings for llama.cpp

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

LLaMA Server combines the power of LLaMA C++ with the beauty of Chatbot UI.

This is a playground for learning and working with various Optimization algorithms with a focus on real life applications.

Native python bindings for llama.cpp

Port of Facebook's LLaMA model in C/C++

LLM inference in C/C++

The Imprint Project

Mycelium Bitcoin Wallet for Android

Playing with various deep learning tools and network architectures

Benchmarks for several RNN variations with different deep-learning frameworks

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…

Computation using data flow graphs for scalable machine learning

Includes the source code of the methods which participated in the M4 Competition

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Probabilistic time series modeling in Python

R Package for Time Series Clustering Along with Optimizations for DTW

Data, Benchmarks, and methods submitted to the M4 forecasting competition

Automated Machine Learning with scikit-learn

google tensorflow deep learning for big data examples

Playing with various deep learning tools and network architectures

The Numenta Anomaly Benchmark

Anomalous time series package for R (ACM)

Access OpenTSDB data from Spark

Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

Pull data from OpenTSDB into R