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- Noida, Uttar Pradesh
- aishmittal.github.io
- @aishhmittal
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
Scrapy, a fast high-level web crawling & scraping framework for Python.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
💫 Industrial-strength Natural Language Processing (NLP) in Python
The fundamental package for scientific computing with Python.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Image-to-Image Translation in PyTorch
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Data Apps & Dashboards for Python. No JavaScript Required.
Open standard for machine learning interoperability
A Powerful Spider(Web Crawler) System in Python.
Datasets, Transforms and Models specific to Computer Vision
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Bringing Old Photo Back to Life (CVPR 2020 oral)
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
An open-source NLP research library, built on PyTorch.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Style transfer, deep learning, feature transform