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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

anantgupta129

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

catboost-in-python-ml

Implementation of CatBoost in machine learning using Python

convolution-neural-network-deeplearning.ai-andrew-ng-

These are Coursera assignment of Course Deep Learning Specialization, this one is course 4

ctu-chb-intrapartum-cardiotocography-caesarean-section-prediction

deepdream-creative-ai-using-tensorflow

Implementation of google deep dream algorithm using Tensorflow

deepstream-yolo

NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models

era-v1

facial-keypoints-emotion-recogination

Building a Facial Expression and Key points Recognition System, model based on resnet

fine-de-tr-object-detection-panoptic-segmentation-with-transformers

Detection Transformers for panoptic segmentation on construction sites datsets

image-segmentation-using-pets-dataset

Training a Convolutional Neural Network to perform Image Segmentation on Oxford Pets Dataset

infiniteops

AWS Sagemaker | Ci/Cd | Hyperparameter Tuning with Optuna | DVC | MLOps pipeline with Kaggle Intel Image Classification Dataset

kaggle-m-titanic-machine-learning-from-disaster-top-2-

Score top 2 % in Kaggle Titanic Disaster Competation

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

logistic-regression-case-study---breast-cancer

A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and comparison is shown in notebook

machine-learning-deep-learning-data-science-a-z--udemy-

Regression, Classification, Clustering, Associate Rule Learning, Reinforcement Learning, NLP, Deep Learning, Dimensionality Reduction and XGboast and cat boost models/ templates from udemy course ML A-Z from Super DATA Science

magma

LAME (LAnguage Multi-Modal Embedded) MultiModel for Image, Audio & Text using Phi-2, Clip, Whisper

man-dump.cpp

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

ml-papers-explained

Explanation to key concepts in ML

mnist-adder-diff-with-django-api

Creating a Django API to deploy a trained model

nlp-with-bert-for-quora-insincere-questions-dataset

Fine-Tune BERT model for text classification using Tensorflow for Quora Insincere Questions Dataset

not-just-another-mnist

A Step by Step guide to design a Convolutional neural network

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

pretraining-phi2

pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

solar-power-generation-forecasting

Prediction of Solar Power Generated by a power plant using artificial neural networks

torchood

TorcHood is a user-friendly wrapper for PyTorch & PyTorch lightning that makes neural network training effortless. It provides features such as LR finder, grad cam, and training history. It also supports sample models and datasets for rapid prototyping.

tsai

The school of AI - Bangalore