DeepBrainz AI
AI tech company, next-gen human-centered autonomous enterprise AI platform as a hybrid cloud and edge AI service for business users across mid-large enterprises
India
Pinned Repositories
COVID-19
DeepBrainz AI for COVID-19, An End-to-End Auto AI/ML Platform as an AI-first SaaS Platform for COVID-19 Diagnostics, Forecasting, Monitoring and Genomics Analytics
DeepBrainz-Assistant-for-COVID-19
DeepBrainz Assistant for COVID-19 gives you everything you need to program, code, work the conversational (chat or voice) AI bots for /with the latest COVID-19 responses and guidance from public health authorities like the CDC and WHO.
free-programming-books
:books: Freely available programming books
gym
A toolkit for developing and comparing reinforcement learning algorithms.
Quantum
Microsoft Quantum Development Kit Samples and Libraries
serverless
Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –
spark
Mirror of Apache Spark
tensorflow
Computation using data flow graphs for scalable machine learning
Universal-AI
Building Universal AI, by Advancing Tomorrow's State-of-the-art AI Developing AI, through BRAIN (Brainz Research of AI Neurons), AI Research Team under DeepBrainz AI, an AI Research and Development Division at @Deep-Brainz, "Empowering Humanity Universally!"
wordcraft
✨✍️ Wordcraft is an AI-powered text editor with an emphasis on short story writing
DeepBrainz AI's Repositories
Deep-Brainz/30-seconds-of-code
Curated collection of useful JavaScript snippets that you can understand in 30 seconds or less.
Deep-Brainz/allennlp
An open-source NLP research library, built on PyTorch.
Deep-Brainz/bert
TensorFlow code and pre-trained models for BERT
Deep-Brainz/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Deep-Brainz/course-v3
The 3rd edition of course.fast.ai - coming in 2019
Deep-Brainz/cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Deep-Brainz/cs231n.github.io
Public facing notes page
Deep-Brainz/DeepCreamPy
Decensoring Hentai with Deep Neural Networks
Deep-Brainz/design-patterns-for-humans
An ultra-simplified explanation to design patterns
Deep-Brainz/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
Deep-Brainz/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Deep-Brainz/keras-retinanet
Keras implementation of RetinaNet object detection.
Deep-Brainz/keras-rl
Deep Reinforcement Learning for Keras.
Deep-Brainz/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Deep-Brainz/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Deep-Brainz/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Deep-Brainz/ml-agents
Unity Machine Learning Agents Toolkit
Deep-Brainz/mlcourse.ai
Open Machine Learning Course
Deep-Brainz/onnx
Open Neural Network Exchange
Deep-Brainz/opennlp
Mirror of Apache OpenNLP
Deep-Brainz/pwc
Papers with code. Sorted by stars. Updated weekly.
Deep-Brainz/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Deep-Brainz/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Deep-Brainz/QNNPACK
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
Deep-Brainz/Recommenders
Recommender Systems
Deep-Brainz/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
Deep-Brainz/scikit-image
Image processing in Python
Deep-Brainz/scipy-lecture-notes
Tutorial material on the scientific Python ecosystem
Deep-Brainz/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Deep-Brainz/tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.