muralits98 Goto Github PK

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

deepul

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

egvsr

Efficient & General Video Super-Resolution

engineering-blogs

A curated list of engineering blogs

exampleproject

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastai

The fastai deep learning library, plus lessons and tutorials

ffmpeg

Mirror of git://source.ffmpeg.org/ffmpeg.git

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

google-research

Google Research

gradient_starvation

Gradient Starvation: A Learning Proclivity in Neural Networks

haven-ai

hmdaloanprediction

Here, we look at what it takes to get a loan - A bias and Fairness approach to predicting loan decisions

howtheytest

A collection of public resources about how software companies test their software

human-learn

Natural Intelligence is still a pretty good idea.

imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

iso-country-data

ISO Country data in JSON and CSV format.

kpopclassifier

creating a bts classifier

labml_nn

A collection of PyTorch implementations of neural network architectures and layers.

lighttrack

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

mini_projects

Small projects in Python posted on my personal blog

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mlnotify

🔔 No need to keep checking your training - just one import line and you'll know the second it's done.