datarobot
RapidMiner
Alteryx
Dataiku
Statista
H2O.ai
Montecarlito
Tibco Data Science
CUDA
TensorFlow
PyTorch
Keras
Scikit-learn
MLKit
Neuton.AI
Open Text Magellan
datarobot CUDABased on our record, CUDA seems to be a lot more popular than datarobot. While we know about 36 links to CUDA, we've tracked only 1 mention of datarobot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group. We used DataRobot’s models to predict which team would win each match to simulate the final nine matchdays 10,000 times. For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: about 1 year ago
For my fellow Windows shills, here's how you actually build it on windows: Before steps: 1. (For Nvidia GPU users) Install cuda toolkit https://developer.nvidia.com/cuda-downloads 2. Download the model somewhere: https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/llama-2-13b-chat.ggmlv3.q4_0.bin In Windows Terminal with Powershell:- Source: Hacker News / 10 months agogit clone https://github.com/ggerganov/llama.cpp.
I use Ubuntu and configuring nvidia drivers is very easy installing from here https://developer.nvidia.com/cuda-downloads. Source: 11 months ago
You have posted almost no information about your Hardware and what exactly you have done. Do you actually have NVIDIA? Have you actually installed CUDA? Also when exactly do you get the error, while installed the python package or later? Source: 11 months ago
EDIT: LINK TO CUDA-toolkit: https://developer.nvidia.com/cuda-downloads. Source: 12 months ago
It's worth noting that you'll need a recent release of llama.cpp to run GGML models with GPU acceleration here is the latest build for CUDA 12.1), and you'll need to install a recent CUDA version if you haven't already (here is the CUDA 12.1 toolkit installer -- mind, it's over 3 GB). Source: about 1 year ago
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
