PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
CUDA
NumPy
Pandas
Haptik.ai
WATI
Verloop
Gallabox
ChatGen
Twilio
Engati for Shopify Automation
TelebuSocial
Haptik has built its platform on the back of having done it ourselves while building the entire AI product suite independently for each specific use case. We build from within the enterprise, leveraging the benefits of a long-term alliance with one of the world¿s largest conglomerates and provide a home-grown, real-time analytics platform with a dedicated Business Intelligence team. Haptik also has an automated conversational testing platform that enables real time improvements to the AI.
PyTorch Haptik.aiBased on our record, PyTorch seems to be more popular. It has been mentiond 106 times since March 2021. 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.
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / about 1 month ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / 2 months ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 3 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / 2 months ago
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.
WATI - No-code chatbot builder for WhatsApp Business
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Verloop - Verloop is a multi-channel customer support and engagement automation chat system.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Gallabox - A single, collaborative conversational workspace, Gallabox integrates WhatsApp Business APIs into a shared multi-agent inbox for team members. With the help of our WhatsApp Chatbots, provide your business with the necessary 24x7 customer support.