DeepmindHub's repositories
Speech-Recognition
This repository contains the code for the speech recognition in python
Data-Science--Cheat-Sheet
Cheat Sheets
machine_learning_examples
A collection of machine learning examples and tutorials.
autokeras
accessible AutoML for deep learning.
tensorflow2.0-examples
Jupyter notebooks to help you started with tensorflow 2.0
tensorflow
An Open Source Machine Learning Framework for Everyone
seq2seq
Sequence to Sequence Learning with Keras
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
rasa_core
🤖 Open source chatbot framework with machine learning-based dialogue management - Build contextual AI assistants
rasa_nlu
đź’¬ Open source library for natural language understanding with intent classification and entity extraction - DIY NLP for chatbots
StarSpace
Learning embeddings for classification, retrieval and ranking.
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
pwc
Papers with code. Sorted by stars. Updated weekly.
hub
A library for transfer learning by reusing parts of TensorFlow models.
InferSent
Sentence embeddings (InferSent) and training code for NLI.
SentEval
A python tool for evaluating the quality of sentence embeddings.
nlp_workshop_dhs18
Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the purpose of being presented in Analytics Vidhya's DataHack Summit 2018. Authors: Dipanjan Sarkar & Raghav Bali
ULMFiT_Text_Classification
Transfer Learning for NLP Tasks
tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
10-steps-to-become-a-data-scientist
In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
lazydata
Lazydata: Scalable data dependencies for Python projects
Aadhaar-Card-OCR
Extract text information from Aadhaar Card using tesseract-ocr :sunglasses:
100_Days_of_ML_Code
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
distraction_detection
A Distraction Detector using OpenCV and Keras
dlib
A toolkit for making real world machine learning and data analysis applications in C++
simple-keras-rest-api
A simple Keras REST API using Flask
gensim
Topic Modelling for Humans
Hunch
Hunch allows users to turn arbitrary machine learning models built using Python into a scalable, hosted service.