Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Perform Data Analysis using Agentic AI - The code to accompany my youtube video

Toolkit for linearizing PDFs for LLM datasets/training

Official implementation for the paper "A deep learning approach to optimize recombinant protein production in fermentations"

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

This repository contains demos I made with the Transformers library by HuggingFace.

proof of concept for a transformer-based time series prediction model

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

Simple, unified interface to multiple Generative AI providers

Multivariate Time Series Transformer, public version

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

All Algorithms implemented in Python

Python implementations of the Boruta all-relevant feature selection method.

Gaussian processes framework in python

convolutional lstm implementation in pytorch

Pytorch implementation of RetinaNet object detection.

Minimal PyTorch implementation of YOLOv3

A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions

Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Implementation of Convolutional LSTM in PyTorch.

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.