AFTAB ALAM's repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Advanced-Natural-Language-Processing-with-TensorFlow-2
Advanced Natural Language Processing with TensorFlow 2, published by Packt
applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-computer-vision
A curated list of awesome computer vision resources
bert
TensorFlow code and pre-trained models for BERT
bert-extractive-summarizer
Easy to use extractive text summarization with BERT
chainer
A flexible framework of neural networks for deep learning
CV-pretrained-model
A collection of computer vision pre-trained models.
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
faceswap
Deepfakes Software For All
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
ocr_testing
Scripts and results from our OCR roundup, available on Source
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
rishabhmisra.github.io
Build a Jekyll blog in minutes, without touching the command line.
tensorflow
An Open Source Machine Learning Framework for Everyone
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tessdoc
Tesseract documentation
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Transformers-for-Natural-Language-Processing
Transformers for Natural Language Processing, published by Packt