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Perficientur Ltd.
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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.
seemanne / llamacpypy
Forked from ggerganov/llama.cppNative python bindings for llama.cpp
thomasantony / llama.cpp
Forked from ggerganov/llama.cppPort of Facebook's LLaMA model in C/C++
gjmulder / benchm-dl
Forked from szilard/benchm-dlPlaying with various deep learning tools and network architectures
gjmulder / rnn-benchmarks
Forked from glample/rnn-benchmarksBenchmarks for several RNN variations with different deep-learning frameworks
gjmulder / benchm-ml
Forked from szilard/benchm-mlA 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…
gjmulder / tensorflow
Forked from tensorflow/tensorflowComputation using data flow graphs for scalable machine learning
gjmulder / M4-methods
Forked from Mcompetitions/M4-methodsIncludes the source code of the methods which participated in the M4 Competition
haohuanw / incubator-mxnet
Forked from apache/mxnetLightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
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
gjmulder / anomalous-acm
Forked from robjhyndman/anomalous-acmAnomalous time series package for R (ACM)
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.